Publications
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[44] A large-scale shape map in monkey inferior temporal cortex. Atlanta, GA; 2006.
[48] The effect of visual experience on the position tolerance of primate object representations. San Diego, CA; 2004.
[45] Is the “binding problem” a problem in inferiotemporal cortex?. Washington, DC; 2005.
[83] A high-throughput screening approach to discovering good forms of visual representation. Salt Lake City, UT; 2008.
[61] Transformation of tactile spatial form within a cortical column in area 3b of the macaque. Miami, FL; 1994.
[dicarlo_velocity_1999] "Velocity invariance of receptive field structure in somatosensory cortical area 3b of the alert monkey." The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 1999;19:401-419. Abstract
[dicarlo_spatial_2000] "Spatial and temporal structure of receptive fields in primate somatosensory area 3b: effects of stimulus scanning direction and orientation." The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 2000;20:495-510. Abstract
[66] "Do we have a strategy for understanding how the visual system accomplishes object recognition?" In: Dickenson A, Leonardis A, Schiele B, Tarr MJ, eds. Object Categorization: Computer and Human Vision Perspectives. Cambridge University Press; 2010.
[59] Laminar differences in spatiotemporal receptive field structure of neurons in area 3b of the awake macaque. Washington, D.C.; 1996.
[56] Form processing in area 3b. Stockholm, Sweden; 1999.
[dicarlo_form_2000] "Form representation in monkey inferotemporal cortex is virtually unaltered by free viewing." Nature Neuroscience. 2000;3:814-821. Abstract
[50] Using reaction time tasks to map sensory-motor chains in the monkey. Orlando, FL; 2002.
[57] Spatial and temporal properties of neural receptive fields in area 3b of the awake monkey. New Orleans, LA; 1997.
[dicarlo_structure_1998] "Structure of receptive fields in area 3b of primary somatosensory cortex in the alert monkey." The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 1998;18:2626-2645. Abstract
[94] Mapping functional neuronal processing chains underlying sensory-motor tasks in the primate. Oxford, UK; 2004.
[dicarlo_marking_1996] "Marking microelectrode penetrations with fluorescent dyes." Journal of Neuroscience Methods. 1996;64:75-81. Abstract
[51] Inferotemporal representations underlying object recognition in the free viewing monkey. New Orleans, LA; 2000.
[101] Interlaminar processing of tactile spatial form in area 3b of the somatosensory system. Boston, MA; 1995.
[41] "Form processing and attention effects in somatosensory cortex." In: Birkhauser, Franzen O, Johansson R, Terenius L, eds. Somesthesis and the Neurobiology of the Somatosensory Cortex. Switzerland: Birkhauser Verlag Basel; 1996.
[60] Interlaminar processing of tactile spatial form in area 3b of the somatosensory system. Boston, MA; 1995.
[55] Ultra-fast object recognition from few spikes. Cambridge, MA: MIT; 2005.
[47] Using ‘read-out’ of object identity to understand object coding in the macaque anterior inferior temporal cortex. Salt Lake City, UT; 2005.
[49] Object recognition by selective spike and LFP data in macaque inferior temporal cortex. San Diego, CA; 2004.
[67] Selectivity of local field potentials in macaque inferior temporal cortex. Cambridge, MA: MIT; 2004.
[82] Natural experience drives online learning of tolerant object representations in visual cortex. Salt Lake City, UT; 2008.
[80] Unsupervised natural experience rapidly alters invariant object representation in visual cortex. Washington, DC; 2008.
[71] Does the visual system use natural experience to construct size invariant object representations?. Salt Lake City, UT; 2010.
[68] From luminance to semantics: how natural objects are represented in monkey inferotemporal cortex. Salt Lake City, UT; 2011.
[77] A systematic exploration of the relationship of fMRI signals and neuronal activity in the primate temporal lobe. Washington, DC; 2008.
[72] Unlocking Brain-Inspired Computer Vision. Boston University, MA; 2009.
[52] Comparing-State-of-the-Art Visual Features on Invariant Object Recognition Tasks. Kona, HI; 2011.
[69] Human versus machine: comparing visual object recognition systems on a level playing field. Snowbird, UT; 2010.
[73] The Visual Cortex and GPUs. MGH Boston, MA; 2009.
[70] A High-Throughput Screening Approach to Biologically-Inspired Object Recognition. Snowbird, UT; 2010.
[74] Unlocking Biologically-Inspired Computer Vision: a High-Throughput Approach. San Jose, CA; 2009.
[84] Why is real-world object recognition hard?: Establishing honest benchmarks and baselines for object recognition. Salt Lake City, UT; 2008.
[81] Concurrent increases in selectivity and tolerance produce constant sparseness across the ventral visual stream. Salt Lake City, UT; 2008.
[64] "A hippocampal theory of schizophrenia." Behavior and Brain Sciences. 1991;14:47-49.
[schmajuk_neural_1991] "A neural network approach to hippocampal function in classical conditioning." Behavioral Neuroscience. 1991;105:82-110. Abstract
[62] The short-term memory regulation hypothesis of hippocampal function. Chicago, IL; 1990.
[schmajuk_stimulus_1992] "Stimulus configuration, classical conditioning, and hippocampal function." Psychological Review. 1992;99:268-305. Abstract
[63] Neural dynamics of hippocampal modulation of classical conditioning. Cambridge, MA; 1989.
[42] "Neural dynamics of hippocampal modulation of classical conditioning." In: Commons M, Grossberg S, Staddon JER, eds. Neural Network Models of Conditioning and Action. Hillsdale, NJ: Lawrence Erlbaum Association; 1991.
[58] Linear and non-linear processing of tactile spatial form in area 3b of the awake macaque. Washington, D.C.; 1996.
[85] Is the rodent a valuable model system for studying invariant object recognition?. Salt Lake City, UT; 2008.
[46] Multiple object response normalization in monkey inferotemporal cortex. Washington, DC; 2005.
