2016

Aberyrathne, C.D., Huynh, D.H., Lee, T.T., Mcintire, T.W., Nguyen, T.C., Nasr, B., Zantomio, D., Chana, G., Abbot, I., Choong, P., Catton, M., Skafidis, E. (2016). Lab on a chip sensor for rapid detection and antibiotic resistance determination of staphylococcus aureua. Analyst, 141(6): 1922-1929.

Aberyrathne, C.D., Huynh, D.H., Lee, T.T., Nguyen, T.C., Nasr, B., Chana, G., Skafidis, E. (2016). GFAP antibody detection using interdigital coplanar waveguide immunosensor. IEEE Sens J 16(9): 2898-2905.

Amlien, I.K., Fjell, A.M., Tamnes, C.K., Grydeland, H., Krogsrud, S.K., Chaplin, T.A., Rosa, M.G.P., Walhovd, K.B. (2016). Organizing principles of human cortical development – thickness and area from 4 to 30 years: Insights from comparative primate neuroanatomy Cereb Cortex 26(1): 257-267.

Arabzadeh, E., von Heimendahl, M., Diamond, M.E. (2016). Vibrissal Texture Coding, in Scholarpedia of Touch, T.J. Prescott, et al., Eds. Paris: Atlantis Press, p. 737-749.

Baumann, O., Mattingley, J.B. (2016). Functional organization of the parahippocampal cortex: Dissociable roles for context representations and the perception of visual scenes. J Neurosci, 36(8): 2536-2542.

Bock, H.T., Stuart, G.J. (2016). Impact of BK channels on cellular excitability depends on their subcellular location. Front. Cell. Neurosci, 10: Art. 206.

Bock, T., Stuart, G.J. (2016). Impact of calcium-activated potassium channels on NMDA spikes in cortical layer 5 pyramidal neurons. J Neurophysiol, 115(3): 1740-1748.

Boonstra, T.W., Farmer, S.F., Breakspear, M. (2016). Using computational neuroscience to define common input to spinal motor neurons. Front Hum Neurosci, 10: Art. 313.

Cloherty, S.L., Hughes, N.J., Hietenan, M.A., Bhagavatula, P., Goodhill, G.J., Ibbotson, M.R.  (2016). Sensory experience modifies feature map relationships in visual cortex. eLife, 5: e13911.

Cocchi, L., Sale, M.V., Gollo, L.L., Bell, P.T., Nguyen, V.T., Zalesky, A., Breakspear, M., Mattingley, J.B. (2016). A hierarchy of timescales explains distinct effects of local inhibition of primary visual cortex and frontal eye fields. eLife, 5(Se): e15252.

Cooray, G.K., Garrido, M.I., Brismar, T., Hyllienmark, L. (2016). The maturation of mismatch negativity networks in normal adolescence. Clin Neurophysiol, 127(1): 520-529.

Davies, A.J., Chaplin, T.A., Rosa, M.G.P., Yu, H.-H. (2016). Natural motion trajectory enhances the coding of speed in primate extrastriate cortex. Sci Rep, 6: Art. 19739.

Dürschmid, S., Zaehle, T., Hinrichs, H., Heinze, H.-J., Voges, J., Garrido, M.I., Dolan, R., Knight, R. (2016). Sensory deviancy detection measured directly within the human nucleus accumbens. Cereb Cortex, 26(3): 1168-1175.

Fam, J., Westbrook, R.F., Arabzadeh, E. (2016). Temporal dynamics of choice behavior in rats and humans: An examination of pre- and post-choice latencies. Sci Rep, 6: Art. 20583.

Fazlali, Z., Ranjbar-Slamloo, Y., Adibi, M., Arabzadeh, E. (2016). Correlation between cortical state and locus coeruleus activity: Implications for sensory coding in rat barrel cortex. Front Neural Circuit. 2016; 10: Art. 14.

Fu, Y., Hsiao, J.H., Paxinos, G., Halliday, G.M., Kim, W.S. (2016). ABCA7 mediates phagocytic clearance of Amyloid-β in the brain. J Alzheimers Dis, 54(2): 569-584.

Fu, Y., Paxinos, G., Watson, C., Halliday, G.M. (2016). The substantia nigra and ventral tegmental dopaminergic neurons from development to degeneration. J Chem Neuroanat, 76(Pt B): 98-107.

Gamberini, M., Bakola, S., Passarelli, L., Burman, K., Rosa, M.G.P., Fattori, P., Galletti, C. (2016). Thalamic projections to visual and visuomotor areas (V6 and V6A) in the Rostral Bank of the parieto-occipital sulcus of the Macaque. Brain Struct Funct, 221(3): 1573-1589.

Garrido, M.I., Teng, C.L.J., Taylor, J.A., Rowe, E.G., Mattingley, J.B.(2016). Surprise responses in the human brain demonstrate statistical learning under high concurrent cognitive demand. npj Sci Learn, 1: Art 16006.

Ghodrati, M., Alwis, D.S., Price, N.S.C., Foxe, J. (2016). Orientation selectivity in rat primary visual cortex emerges earlier with low-contrast and high-luminance stimuli. Eur J Neurosci, 44(10): 2759-2773.

Gu, Y., Gong, P. (2016). The dynamics of memory retrieval in hierarchical networks. J Comput Neurosci, 40(3): 247-268.

Hausser, M., Spruston, N., Stuart, G.J. (2016). The future of dendritic research, in Dendrites, G.J. Stuart, et al., Eds. Oxford: Oxford University Press, p. 703-707.

Hearne, L., Mattingley, J.B., Cocchi, L. (2016). Functional brain networks related to individual differences in human intelligence at rest. Sci Rep, 6: Art. 32328.

Hohwy, J., Paton, B., Palmer, C. (2016). Distrusting the present. Phenomenol Cogn Sci, 15(3): 315-335.

Jamadar, S.D., Egan, G.F., Calhoun, V.D., Johnson, B., Fielding, J. (2016). Intrinsic connectivity provides the baseline framework for variability in motor performance: A multivariate fusion analysis of low-and high-frequency resting-state oscillations and antisaccade performance. Brain Connect, 6(6): 505-517.

Kameneva, T., Maturana, M.I., Hadjinicolaou, A.E., Cloherty, S.L., Ibbotson, M.R., Grayden, D.B., Burkitt, A.N., Meffin, H. (2016). Retinal ganglion cells: mechanisms underlying depolarization block and differential responses to high frequency electrical stimulation of ON and OFF cells. J Neural Eng, 13(1): Art. 016017.

Kamke, M.R., Nydam, A.S., Sale, M.V., Mattingley, J.B. (2016). Associative plasticity in the human motor cortex is enhanced by concurrently targetingseparate muscle representations with excitatory and inhibitory protocols. J Neurophysiol, 115(4): 2191-2198.

Lee, C., Diamond, M.E., Arabzadeh, E. (2016). Sensory prioritization in rats: behavioural performance and neuronal correlates. J Neurosci, 36(11): 3243-3253.

Lee, S.C., Weltzien, F., Madigan, M., Martin, P.R., Grünert, U. (2016). Identification of aII amacrine, displaced amacrine and bistratified ganglion cell types in human retina with antibodies against calretinin. J Comp Neurol, 524(1): 39-53.

Lewis, P.M., Ayton, L.N., Guymer, R.H., Lowery, A.J., Blamey, P.J., Allen, P.J., Luu, C.D., Rosenfeld, J.V. (2016). Advances in implantable bionic devices for blindness: a review. ANZ J Surg, 86(9): 654-659.

Liang, H., Schofield, E., Paxinos, G. (2016). Imaging serotonergic fibers in the mouse spinal cord using the CLARITY/CUBIC technique. J Vis Exp, 108: Art. 53673.

Liang, H., Watson, C., Paxinos, G. (2016). Terminations of reticulospinal fibers originating from the gigantocellular reticular formation in the mouse spinal cord. Brain Struct Funct, 221(3): 1623-1633.

Liu, X., Xie, B., Qi, Y., Du, X., Wang, S., Zhang, Y., Paxinos, G., Yang, H., Liang, H. (2016). The expression of SEIPIN in the mouse central nervous system. Brain Struct Funct, 221(8): 4111-4127.

Lowery, A.J., Rosenfeld, J.V., Rosa, M.G.P., Brunton, E., Rajan, R., Mann, C., Armstrong, M., Mohan, A., Josh, H., Kleeman, L., Li, W.H., Pritchard, J. (2016). Monash Vision Group’s Gennaris Cortical Implant for Vision Restoration, in Artificial Vision, V.P. Gabel, Ed. Switzerland: Springer International Publishing, p. 215-225.

Mai, J.K., Majtanic, M., Paxinos, G. (2016). Atlas of the Human Brain, 4th ed. San Diego: Academic Press

Majka, P., Chaplin, T.A., Yu, H.-H., Tolpygo, A., Mitra, P.P., Wójcik, D.K., Rosa, M.G.P. (2016). Towards a comprehensive atlas of cortical connections in a primate brain: Mapping tracer injection studies of the common marmoset into a reference digital template. J Comp Neurol, 524(11): 2161-2181.

Mansouri, F.A., Fehring, D.J., Feizpour, A., Gaillard, A., Rosa, M.G.P., Rajan, R., Jaberzadeh, S., Thut, G. (2016). Direct current stimulation of prefrontal cortex modulates error-induced behavioral adjustments. Eur J Neurosci, 44(2): 1856-1869.

Mansouri, F.A., Fehring, D.J., Gaillard, A., Jaberzadeh, S., Parkington, H. (2016). Sex dependency of inhibitory control functions. Biol Sex Differ, 7(11): 1-13.

Masri, R.A., Percival, K.A., Koizumi, A., Martin, P.R., Grünert, U. (2016). Connectivity between the OFF bipolar type DB3a and six types of ganglion cell in the marmoset retina. J Comp Neurol, 524(9): 1839-1858.

Maturana, M.I., Apollo, N.V., Hadjinicoloaou, A.E., Garrett, D.J., Cloherty, S.L., Kameneva, T., Grayden, D.B., Ibbotson, M.R., Meffin, H. (2016). A simple and accurate model to predict responses to multi-electrode stimulation in the retina. PLoS Comput Biol, 12(4): e1004849.

Mendis, G.D., Morrisroe, E., Reid, C.A., Halgamuge, S., Petrou, S. (2016). Use of local field potentials of dissociated cultures grown on multi-electrode arrays for pharmacological assays. Conf Proc IEEE Eng Med Biol Soc, 2016-October: Art. 7590859.

Molenberghs, P., Johnson, H., Henry, J., Mattingley, J.B. (2016). Understanding the minds of others: A neuroimaging meta-analysis. Neurosci Biobehav Rev, 65: 276-291.

Naughtin, C., Mattingley, J.B., Dux, P. (2016). Early information processing contributions to object individuation revealed by perception of illusory figures. J Neurophysiol, 116(6): 2513-2522.

Naughtin, C.K., Mattingley, J.B., Dux, P.E. (2016). Distributed and overlapping neural substrates for object individuation and identification in visual short-term memory. Cereb Cortex, 26(2): 566-275.

Pang, J.C., Robinson, P.A., Aquino, K.M. (2016). Response-mode decomposition of spatio-temporal haemodynamics. J R Soc Interface, 13(118): pii: 20160253.

Puckett, A.M., Aquino, K.M., Robinson, P.A., Breakspear, M., Schira, M.M. (2016). The spatiotemporal hemodynamic response function for depth-dependent functional imaging of human cortex. NeuroImage, 139: 240-248.

Richards, L.R., Michie, P.T., Badcock, D.R., Bartlett, P.F., Bekkers, J.M., Bourne, J.A., Castles, A., Egan, G.F., Fornito, A., Hannan, A.J., Hickie, I.B., Mattingley, J.B., Schofield, P.R., Shum, D.H.K., Stuart, G.J., Vickers, J.C., Vissel, B. (2016). Australian Brain Alliance. Neuron, 92(3): 597-600.

Roberts, J.A., Perry, A., Lord, A.R., Roberts, G., Mitchell, P.B., Smith, R.E., Calamante, F., Breakspear, M. (2016). The contribution of geometry to the human connectome. NeuroImage, 124: 379-393.

Robinson, A.K., Laning, J., Reinhard, J., Mattingley, J.B. (2016). Odours reduce the magnitude of object substitution masking for matching visual targets in females. Atten Percept Psycho, 78(6): 1702-1711.

Robinson, P.A., Zhao, X., Aquino, K.M., Griffiths, J.D., Sarkar, S., Mehta-Pandejee, G. (2016). Eigenmodes of brain activity: Neural field theory predictions and comparison with experiment. NeuroImage, 142: 79-98.

Rusznák, Z., Henskens, W., Schofield, E., Kim, W.S., Fu, Y. (2016). Adult neurogenesis and gliogenesis: Possible mechanisms for neurorestoration. Exp Neurobiol, 25(3): 103-112.

Rusznák, Z., Kim, W.S., Hsiao, J.H., Halliday, G.M., Paxinos, G., Fu, Y. (2016). Early in vivo effects of the human mutant Amyloid-β protein precursor (hAβPPSwInd) on the mouse olfactory bulb. J Alzheimers Dis, 49(2): 443-457.

Sabri, M., Adibi, M., Arabzadeh, E. (2016). Dynamics of population activity in rat sensory cortex: Network correlations predict anatomical arrangement and information content. Front Neural Circuit, 10: Art. 49.

Saker, P., Farrell, M.J., Egan, G.F., McKinley, M.J., Denton, D.A. (2016). Overdrinking, swallowing inhibition, and regional brain responses prior to swallowing. Proc Natl Acad Sci USA, 113(43): 12274-12279.

Sarkar, S., Chawla, S., Robinson, P.A., Fortunato, S. (2016). Eigenvector dynamics under perturbation of modular networks. Phys Rev E, 93(6): Art. 062312.

Spampanato, J., Sullivan, R.K.P., Perumal, M.B., Sah, P. (2016). Development and physiology of GABAergic feedback excitation in parvalbumin expressing interneurons of the mouse basolateral amygdala. Physiol Rep; 4: e12664.

Spruston, N., Stuart, G.J., Hausser, M. (2016). Principles of dendritic intgration, in Dendrites, G.J. Stuart, et al., Eds. Oxford: Oxford University Press p. 351-398.

Stuart, G.J., Spruston, N., Hausser, M. (2016). Dendrites, 3rd ed. Oxford: Oxford University Press.

Verghese, A., Garner, K.G., Mattingley, J.B., Dux, P. (2016). Prefrontal cortex structure predicts training – induced improvements in multitasking performance. J Neurosci, 36(9): 2638-2645.

Wilson, M.T., Fung, P.K., Robinson, P.A., Shemmell, J., Reynolds, J.N. (2016). Calcium dependent plasticity applied to repetitive transcranial magnetic stimulation with a neural field model. J Comput Neurosci, 41(1): 107-125.

Windels, F., Yan, S., Stratton, P.G., Sullivan, R., Crane, J.W., Sah, P. (2016). Auditory tones and foot-shock recapitulate spontaneous sub-threshold activity in basolateral amygdala principal neurons and interneurons. PLoS One, 11(5): e0155192.

Yang, D.P., McKenzie-Sell, L., Karanjai, A., Robinson, P.A. (2016). Wake-sleep transition as a noisy bifurcation. Phys Rev E, 94(2): Art. 022412.

Zalesky, A., Fornito, A., Cocchi, L., Gollo, L.L., van den Heuvel, M.P., Breakspear, M. (2016). Connectome sensitivity or specificity: which is more important? NeuroImage. 2016; 142: 407-420.

Zarei, P., Kameneva, T., Ibbotson, M.R., Grayden, D.L. (2016). A possible role for end-stopped V1 neurons in the perception of motion: a computational model. PLoS One, 11(10): e0164813.

Zavitz, E., Yu, H.-H., Rowe, E.G., Rosa, M.G.P., Price, N.S.C. (2016). Rapid adaptation induces persistent biases in population codes for visual motion. J Neurosci, 36(16): 4579-4590.

 

Image: ‘Brain Loop’ by Mari Adams, a winner of The Brain Dialogue‘s 2014 brain-inspired art competition

2015

Angelucci, A., & Rosa, M. G. (2015). Resolving the organization of the third tier visual cortex in primates: A hypothesis-based approach. Vis Neurosci, 32, E010. doi: 10.1017/S0952523815000073

Apollo, N. V., Maturana, M. I., Tong, W., Nayagam, D. A., Shivdasani, M. N., Foroughi, J., Wallace, G. G., Prawer, S., Ibbotson, M. R., and Garrett, D. J. (2015). Soft, flexible freestanding neural stimulation and recording electrodes fabricated from reduced graphene oxide. Advanced Functional Materials, 25(23), 3551-3559.

Bakola, S., Burman, K. J., & Rosa, M. G. (2015). The cortical motor system of the marmoset monkey (Callithrix jacchus). Neurosci Res, 93, 72-81. doi: 10.1016/j.neures.2014.11.003

Burman, K. J., Bakola, S., Richardson, K. E., Yu, H. H., Reser, D. H., & Rosa, M. G. (2015). Cortical and thalamic projections to cytoarchitectural areas 6Va and 8C of the marmoset monkey: connectionally distinct subdivisions of the lateral premotor cortex. J Comp Neurol, 523(8), 1222-1247. doi: 10.1002/cne.23734

Chana, G., Laskaris, L., Pantelis, C., Gillett, P., Testa, R., Zantomio, D., Burrows, E., Hannan, A., Everall, I.P., Skafidas, E. (2015). Decreased expression of mGluR5 within the dorsolateral prefrontal cortex in autism and increased microglial number in mGluR5 knockout mice: Pathophysiological and neurobehavioral implications. Brain Behavior and Immunity. doi: 10.1016/j.bbi.2015.05.009.

Cao, Y., Contreras-Huerta, L.S., McFadyen, J., & Cunnington, R. (2015). Racial bias in neural response to others’ pain is reduced with other-race contact, Cortex. doi: 10.1016/j.cortex.2015.02.010

Doorn, G. V., Paton, B., Howell, J., & Hohwy, J. (2015). Attenuated self-tickle sensation even under trajectory perturbation. Consciousness and Cognition, 36, 147-153. doi: 10.1016/j.concog.2015.06.016

Durschmid, S., Zaehle, T., Hinrichs, H., Heinze, H. J., Voges, J., Garrido, M. I., Dolan, R.J., Knight, R. T. (2015). Sensory Deviancy Detection Measured Directly Within the Human Nucleus Accumbens. Cereb Cortex. doi: 10.1093/cercor/bhu304

Fam, J., Westbrook, F., & Arabzadeh, E. (2015). Dynamics of pre- and post-choice behaviour: rats approximate optimal strategy in a discrete-trial decision task. Proc Biol Sci, 282(1803), 20142963. doi: 10.1098/rspb.2014.2963

Gamberini, M., Bakola, S., Passarelli, L., Burman, K. J., Rosa, M. G., Fattori, P., & Galletti, C. (2015). Thalamic projections to visual and visuomotor areas (V6 and V6A) in the Rostral Bank of the parieto-occipital sulcus of the Macaque. Brain Struct Funct. doi: 10.1007/s00429-015-0990-2

Garrido, M. I., Barnes, G., Kumaran, D., Maguire, E., & Dolan, R. (2015). Ventromedial prefrontal cortex drives hippocampal theta oscillations induced by mismatch computations. Neuroimage.

Gollo, L., Zalesky, A., Hiutchinson, R., & Breakspear , M. (2015). Dwelling quietly in the rich club: Brain network determinants of slow cortical fluctuations. Philosophical Transactions of the Royal Society B.

He, W., Garrido, M. I., Sowman, P. F., Brock, J., & Johnson, B. W. (2015). Development of effective connectivity in the core network for face perception. Hum Brain Mapp. doi: 10.1002/hbm.22762

Liang, H., Schofield, E., & Paxinos, G. (2015). Imaging serotonergic fibers in the mouse spinal cord using the CLARITY/CUBIC technique. Journal of Visualized Experiments.

Liang, H., Wang, S., Francis, R., Whan, R., Watson, C., & Paxinos, G. (2015). Distribution of raphespinal fibers in the mouse spinal cord. Mol Pain, 11(1), 42. doi: 10.1186/s12990-015-0046-x

Liang, H., Watson, C., & Paxinos, G. (2015). Projections from the oral pontine reticular nucleus to the spinal cord of the mouse. Neurosci Lett, 584, 113-118. doi: 10.1016/j.neulet.2014.10.025

Liang, H., Watson, C., & Paxinos, G. (2015). Terminations of reticulospinal fibers originating from the gigantocellular reticular formation in the mouse spinal cord. Brain Structure and Function: 220 (1). Doi 10.1007/s00429-015-0993-z

Liang, H., Watson, C., & Paxinos, G. (2015). Projections from the central amygdaloid nucleus to the precuneiform nucleus in the mouse. Brain Structure and Function: 220 (1), 263-271. doi 10.1007/s00429-013-0653-0

Lui, L. L., Mokri, Y., Reser, D. H., Rosa, M. G., & Rajan, R. (2015). Responses of neurons in the marmoset primary auditory cortex to interaural level differences: comparison of pure tones and vocalizations. Front Neurosci, 9, 132. doi: 10.3389/fnins.2015.00132

Lui, L. L., & Rosa, M. G. (2015). Structure and function of the middle temporal visual area (MT) in the marmoset: Comparisons with the macaque monkey. Neurosci Res, 93, 62-71. doi: 10.1016/j.neures.2014.09.012

Nasr, B., Chana, G., Lee, T.T., Nguyen, T., Abeyrathne, C., D’Abaco, G.M., Dottori, M., & Skafidas, E. (2015). Vertical Nanowire Electrode Arrays as Novel Electrochemical Label-Free Immunosensors. Small: 11(24), 2862-2868. doi: 10.1002/smll.201403540

Palmer, C. J., Paton, B., Kirkovski, M., Enticott, P. G., & Hohwy, J. (2015). Context sensitivity in action decreases along the autism spectrum: a predictive processing perspective. Proc Biol Sci, 282(1802). doi: 10.1098/rspb.2014.1557

Rosa, M. J., Portugal, L., Hahn, T., Fallgatter, A. J., Garrido, M. I., Shawe-Taylor, J., & Mourao-Miranda, J. (2015). Sparse network-based models for patient classification using fMRI. Neuroimage, 105, 493-506. doi: 10.1016/j.neuroimage.2014.11.021

Strobel, C., Marek, R., Gooch, H. M., Sullivan, R. K., & Sah, P. (2015). Prefrontal and Auditory Input to Intercalated Neurons of the Amygdala. Cell Rep. doi: 10.1016/j.celrep.2015.02.008

Townsend, R. G., Solomon, S. S., Chen, S. C., Pietersen, A. N., Martin, P. R., Solomon, S. G., & Gong, P. (2015). Emergence of complex wave patterns in primate cerebral cortex. J Neurosci, 35(11), 4657-4662. doi: 10.1523/JNEUROSCI.4509-14.2015

Warner, C. E., Kwan, W. C., Wright, D., Johnston, L. A., Egan, G. F., & Bourne, J. A. (2015). Preservation of Vision by the Pulvinar following Early-Life Primary Visual Cortex Lesions. Curr Biol. doi: 10.1016/j.cub.2014.12.028

Weltzien, F., Percival, K. A., Martin, P. R., & Grunert, U. (2015). Analysis of bipolar and amacrine populations in marmoset retina. J Comp Neurol, 523(2), 313-334. doi: 10.1002/cne.23683

Wimmer, V. C., Harty, R. C., Richards, K. L., Phillips, A. M., Miyazaki, H., Nukina, N., & Petrou, S. (2015). Sodium channel beta1 subunit localizes to axon initial segments of excitatory and inhibitory neurons and shows regional heterogeneity in mouse brain. J Comp Neurol, 523(5), 814-830. doi: 10.1002/cne.23715

Yu, H. H., Chaplin, T. A., & Rosa, M. G. (2015). Representation of central and peripheral vision in the primate cerebral cortex: Insights from studies of the marmoset brain. Neurosci Res, 93, 47-61. doi: 10.1016/j.neures.2014.09.004

 

Image: ‘Frayed nerves’ by Dr Melita Giummarra, a winner of The Brain Dialogue‘s 2014 brain-inspired art competition.

2014

Amlien, I. K., Fjell, A. M., Tamnes, C. K., Grydeland, H., Krogsrud, S. K., Chaplin, T. A., Rosa, M. G., Walhovd, K. B. (2014). Organizing Principles of Human Cortical Development-Thickness and Area from 4 to 30 Years: Insights from Comparative Primate Neuroanatomy. Cereb Cortex. doi: 10.1093/cercor/bhu214

Aquino, K. M., Robinson, P. A., & Drysdale, P. M. (2014). Spatiotemporal hemodynamic response functions derived from physiology. J Theor Biol, 347, 118-136. doi: 10.1016/j.jtbi.2013.12.027

Aquino, K. M., Robinson, P. A., Schira, M. M., & Breakspear, M. (2014). Deconvolution of neural dynamics from fMRI data using a spatiotemporal hemodynamic response function. Neuroimage, 94, 203-215. doi: 10.1016/j.neuroimage.2014.03.001

Arabzadeh, E., Clifford, C. W., Harris, J. A., Mahns, D. A., Macefield, V. G., & Birznieks, I. (2014). Single Tactile Afferents Outperform Human Subjects in a Vibrotactile Intensity Discrimination Task. J Neurophysiol, 112(10), 2382-2387. doi: 10.1152/jn.00482.2014

Bhagavatula, P. S., Claudianos, C., Ibbotson, M. R., & Srinivasan, M. V. (2014). Behavioral lateralization and optimal route choice in flying budgerigars. PLoS Comput Biol, 10(3), e1003473. doi: 10.1371/journal.pcbi.1003473

Burman, K. J., Bakola, S., Richardson, K. E., Reser, D. H., & Rosa, M. G. (2014). Patterns of afferent input to the caudal and rostral areas of the dorsal premotor cortex (6DC and 6DR) in the marmoset monkey. J Comp Neurol, 522(16), 3683-3716. doi: 10.1002/cne.23633

Cloherty, S. L., & Ibbotson, M. R. (2014). Contrast-dependent phase sensitivity in V1 but not V2 of macaque visual cortex. J Neurophysiol, jn 00539 02014. doi: 10.1152/jn.00539.2014

Cooray, G., Garrido, M. I., Hyllienmark, L., & Brismar, T. (2014). A mechanistic model of mismatch negativity in the ageing brain. Clin Neurophysiol, 125(9), 1774-1782. doi: 10.1016/j.clinph.2014.01.015

Dietz, M. J., Friston, K. J., Mattingley, J. B., Roepstorff, A., & Garrido, M. I. (2014). Effective connectivity reveals right-hemisphere dominance in audiospatial perception: implications for models of spatial neglect. J Neurosci, 34(14), 5003-5011. doi: 10.1523/JNEUROSCI.3765-13.2014

Filmer, H. L., Dux, P. E., & Mattingley, J. B. (2014). Applications of transcranial direct current stimulation for understanding brain function. Trends Neurosci. doi: 10.1016/j.tins.2014.08.003

Fjell, A. M., Amlien, I. K., Sneve, M. H., Grydeland, H., Tamnes, C. K., Chaplin, T. A., Rosa, M. G., Walhovd, K. B. (2014). The Roots of Alzheimer’s Disease: Are High-Expanding Cortical Areas Preferentially Targeted? Cereb Cortex. doi: 10.1093/cercor/bhu055

Fornito, A., Zalesky, A., & Breakspear, M. (2015). (Review) The connectomics of brain disorders. Nat Rev Neurosci, 16(3), 159-172. doi: 10.1038/nrn3901

Fulcher, B. D., Phillips, A. J., Postnova, S., & Robinson, P. A. (2014). A physiologically based model of orexinergic stabilization of sleep and wake. PLoS One, 9(3), e91982. doi: 10.1371/journal.pone.0091982

Fung, P. K., & Robinson, P. A. (2014). Neural field theory of synaptic metaplasticity with applications to theta burst stimulation. J Theor Biol, 340, 164-176. doi: 10.1016/j.jtbi.2013.09.021

Garvert, M. M., Friston, K. J., Dolan, R. J., & Garrido, M. I. (2014). Subcortical amygdala pathways enable rapid face processing. Neuroimage, 102P2, 309-316. doi: 10.1016/j.neuroimage.2014.07.047

Goscinski, W. J., McIntosh, P., Felzmann, U. C., Maksimenko, A., Hall, C. J., Gureyev, T., . . . Egan, G. F. (2014). The Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research. Frontiers in Neuroinformatics. doi: doi: 10.3389/fninf.2014.00030

Hadjinicolaou, A., Savage, C., Apollo, N., Garrett, D., Cloherty, S., Ibbotson, M., & O’Brien, B. (2014). Optimizing the Electrical Stimulation of Retinal Ganglion Cells. IEEE Trans Neural Syst Rehabil Eng. doi: 10.1109/TNSRE.2014.2361900

Henderson, J. A., & Robinson, P. A. (2014). Relations between the geometry of cortical gyrification and white-matter network architecture. Brain Connect, 4(2), 112-130. doi: 10.1089/brain.2013.0183

Henke, H., Robinson, P. A., & Drysdale, P. M. (2014). Spatiotemporally varying visual hallucinations: II. Spectral classification and comparison with theory. J Theor Biol, 357, 210-219. doi: 10.1016/j.jtbi.2014.05.024

Henke, H., Robinson, P. A., Drysdale, P. M., & Loxley, P. N. (2014). Spatiotemporally varying visual hallucinations: I. Corticothalamic theory. J Theor Biol, 357, 200-209. doi: 10.1016/j.jtbi.2014.05.025

Hohwy, J. (2014). (Commentary) Elusive phenomenology, counterfactual awareness, and presence without mastery. Cogn Neurosci, 5(2), 127-128. doi: 10.1080/17588928.2014.906399

Hohwy, J. (2014). The self-evidencing brain. Nous. doi: 10.1111/nous.12062

Hohwy, J., & Palmer, C. (2014). (Book chapter) Social cognition as causal inference: implications for common knowledge and autism. In M. Gallotti & J. Michael (Eds.), Social Ontology and Social Cognition: Springer.

Hughes, N. J., Hunt, J. J., Cloherty, S. L., Ibbotson, M. R., Sengpiel, F., & Goodhill, G. J. (2014). Stripe-rearing changes multiple aspects of the structure of primary visual cortex. Neuroimage, 95, 305-319. doi: 10.1016/j.neuroimage.2014.03.031

Hung, Y. S., & Ibbotson, M. R. (2014). Ocellar structure and neural innervation in the honeybee. Front Neuroanat, 8, 6. doi: 10.3389/fnana.2014.00006

Liang, H., Bácskai, T., Watson, C., & Paxinos, G. (2014). Projections from the lateral vestibular nucleus to the spinal cord in the mouse. Brain Structure and Function: 219 (3), 805-815. doi 10.1007/s00429-013-0536-4

Marshak, D. W., & Martin, P. R. (2014). (Editorial) Short wavelength-sensitive cones and the processing of their signals. Vis Neurosci, 31(2), 111-113.

Martin, P. R. (2014). (Editorial) Neuroscience: who needs a parasol at night? Curr Biol, 24(24), R1164-1166. doi: 10.1016/j.cub.2014.10.075

Martin, P. R., & Lee, B. B. (2014). (Major Review) Distribution and specificity of S-cone (“blue cone”) signals in subcortical visual pathways. Vis Neurosci, 31(2), 177-187. doi: 10.1017/S0952523813000631

Miyagishima, K. J., Grunert, U., & Li, W. (2014). (Major Review) Processing of S-cone signals in the inner plexiform layer of the mammalian retina. Vis Neurosci, 31(2), 153-163. doi: 10.1017/S0952523813000308

Naughtin, C. K., Mattingley, J. B., & Dux, P. E. (2014). Distributed and Overlapping Neural Substrates for Object Individuation and Identification in Visual Short-Term Memory. Cereb Cortex. doi: 10.1093/cercor/bhu212

Palmer, J. H., & Gong, P. (2014). Associative learning of classical conditioning as an emergent property of spatially extended spiking neural circuits with synaptic plasticity. Front Comput Neurosci, 8, 79. doi: 10.3389/fncom.2014.00079

Percival, K. A., Koizumi, A., Masri, R. A., Buzas, P., Martin, P. R., & Grunert, U. (2014). Identification of a pathway from the retina to koniocellular layer K1 in the lateral geniculate nucleus of marmoset. J Neurosci, 34(11), 3821-3825. doi: 10.1523/JNEUROSCI.4491-13.2014

Pietersen, A. N. J., Cheong, S. K., Solomon, S. G., Tailby, C., & Martin, P. R. (2014). Temporal response properties of koniocellular (blue-on and blue-off) cells in marmoset lateral geniculate nucleus. J Neurophysiol, 112(6), 1421-1438. doi: Doi 10.1152/Jn.00077.2014

Poonian, S.K., McFadyen, J., Ogden, J., & Cunnington, R. (2014). Implicit agency in observed actions: evidence for N1 suppression of tones caused by self-made and observed actions. Journal of Cognitive Neuroscience: 27 (4), 752-764. doi: 10.1162/jocn_a_00745

Postnova, S., Postnov, D. D., Seneviratne, M., & Robinson, P. A. (2014). Effects of rotation interval on sleepiness and circadian dynamics on forward rotating 3-shift systems. J Biol Rhythms, 29(1), 60-70. doi: 10.1177/0748730413516837

Reser, D. H., Richardson, K. E., Montibeller, M. O., Zhao, S., Chan, J. M., Soares, J. G., . . . Rosa, M. G. (2014). Claustrum projections to prefrontal cortex in the capuchin monkey (Cebus apella). Front Syst Neurosci, 8, 123. doi: 10.3389/fnsys.2014.00123

Richards, K., Calamante, F., Tournier, J. D., Kurniawan, N. D., Sadeghian, F., Retchford, A. R., . . . Petrou, S. (2014). Mapping somatosensory connectivity in adult mice using diffusion MRI tractography and super-resolution track density imaging. Neuroimage, 102 Pt 2, 381-392. doi: 10.1016/j.neuroimage.2014.07.048

Robinson, P. A. (2014). Determination of effective brain connectivity from functional connectivity using propagator-based interferometry and neural field theory with application to the corticothalamic system. Phys Rev E Stat Nonlin Soft Matter Phys, 90(4), 042712.

Robinson, P. A., Sarkar, S., Pandejee, G. M., & Henderson, J. A. (2014). Determination of effective brain connectivity from functional connectivity with application to resting state connectivities. Phys Rev E Stat Nonlin Soft Matter Phys, 90(1), 012707.

Sarkar, S., Dong, A., Henderson, J. A., & Robinson, P. A. (2014). Spectral Characterization of Hierarchical Modularity in Product Architectures. J Mech Des N Y, 136(1), 0110061-1100612. doi: 10.1115/1.4025490

Skafidas, E., Testa, R., Zantomio, D., Chana, G., Everall, I.P., Pantelis, C. (2014). Response to Belgard et al. Molecular Psychiatry: 19, 407-409. doi: 10.1038/mp.2013.186

Sefton, A. J., Dreher, B., Harvey, A. R., & Martin, P. R. (2014). (Book chapter) Visual System. In G. Paxinos (Ed.), The rat nervous system (pp. 947-983). San Diego: Elsevier Academic Press.

Sengul, G., Fu, Y., Yu, Y., & Paxinos, G. (2014). Spinal cord projections to the cerebellum in the mouse. Brain Struct Funct. doi: 10.1007/s00429-014-0840-7

Solomon, S. G., & Rosa, M. G. (2014). A simpler primate brain: the visual system of the marmoset monkey. Front Neural Circuits, 8, 96. doi: 10.3389/fncir.2014.00096

Van Doorn, G., Hohwy, J., & Symmons, M. (2014). Can you tickle yourself if you swap bodies with someone else? Conscious Cogn, 23, 1-11. doi: 10.1016/j.concog.2013.10.009

Weltzien, F., Dimarco, S., Protti, D. A., Daraio, T., Martin, P. R., & Grunert, U. (2014). Characterization of secretagogin-immunoreactive amacrine cells in marmoset retina. J Comp Neurol, 522(2), 435-455. doi: 10.1002/cne.23420

Wong, R. C., Garrett, D. J., Grayden, D. B., Ibbotson, M. R., & Cloherty, S. L. (2014). Efficacy of electrical stimulation of retinal ganglion cells with temporal patterns resembling light-evoked spike trains. Conf Proc IEEE Eng Med Biol Soc, 2014, 1707-1710. doi: 10.1109/EMBC.2014.6943936

Zhao, X., Kim, J. W., Robinson, P. A., & Rennie, C. J. (2014). Low dimensional model of bursting neurons. J Comput Neurosci, 36(1), 81-95. doi: 10.1007/s10827-013-0468-2

 

Image: ‘Mind Fibre’ by Dr Melita Giummarra, a winner of The Brain Dialogue‘s 2014 brain-inspired art competition