Confirmed
speakers
Pascal
Barone, CNRS Toulouse, investigates
multisensory integration in the monkey cortex at early stages of
information processing (electrophysiology, anatomy).
- Batardière,
A., Barone, P., et al. (2002). Early specification
of the hierarchical organization of visual cortical areas in the
macaque monkey. Cerebral Cortex, 12,
453-465. [pdf]
- Bullier, J. (2001). Integrated model of visual processing. Brain Research Review, 36, 96-107. [pdf]
Jochen
Braun, Universität Magdeburg, works on the
neural basis of visual attention and awareness. More recently, he has
also been interested in the context-dependence of visual association
learning. He combines anatomically targeted psychophysics with
computational modeling, to characterize the visual information encoded
in cortical populations.
- Lee,
D. K., et al. (1999). Attention activates winner-take-all competition
among visual filters. Nature
Neuroscience, 2, 375-381. [pdf]
- Li, F. F., et al. (2002). Rapid natural scene
categorization in the near absence of attention. PNAS, 99, 9596-9601. [pdf]
Frank
Bremmer, Universität Marburg,
works
on space and motion representation in macaque posterior parietal
cortex.
By means of fMRI he recently described the human equivalent of the
macaque area VIP (electrophysiology, fMRI, modeling, psychophysics).
- Duhamel, J.-R., Bremmer, F., BenHamed, S., & Graf, W.
(1997). Spatial invariance of visual
receptive fields in parietal cortex neurons. Nature, 389, 845-848. [pdf]
- Bremmer, F., et al. (2001). Polymodal motion processing in
posterior parietal and premotor cortex: A human fMRI study strongly
implies equivalencies between humans and monkeys. Neuron, 29, 287–296. [pdf]
Heinrich
Bülthoff,
MPI Tübingen, deals with the visual and haptic
recognition of objects, orientation and navigation in 3D
space, and the information processing underlying both (psychophysics,
modeling).
- Ernst, M. O. &
Bülthoff, H. H. (2004). Merging the senses into a robust percept.
Trends in Cognitive Sciences, 8, 162-169. [pdf]
- Wallis, G. M. &
Bülthoff, H. H. (1999). Learning to recognize objects. Trends in
Cognitive Sciences, 3, 22-31. [pdf]
David
Burr, CNR Pisa / Firenze, research interests include human motion perception,
perception during eye movements, attention, and cross-modal perception (psychophysics,
fMRI).
- Burr, D. C., & Alais, D. (in press). Combining visual
and auditory information. Progress
in Brain Research. Special Issue "Visual Perception". [pdf]
- Ernst, M. O., & Bülthoff, H. H. (2004). Merging
the senses into a robust percept. Trends
in Cognitive Sciences, 8, 162-169. [pdf]
Gustavo
Deco, Universitat Barcelona, works on the
large-scale
architecture
of visual perception, attention and memory. He uses
neurodynamic
modeling of interacting neural populations to account for a wide range
of behavioural, single-unit, and functional imaging data
(modeling).
- Deco, G., & Rolls, E. T. (2005). Neurodynamics of
biased competition and cooperation for attention: A model with spiking
neurons. Journal of Neurophysiology,
94, 295-313. [pdf]
- Deco, G., & Rolls, E. T. (2005). Attention, short-term
memory, and action selection: A unifying theory. Progress in Neurobiology, 76,
236-256. [pdf]
Karl
Gegenfurtner,
Universität Giessen,
works on color vision, natural images, and the
relationship
between perception and action (psychophysics).
- Gegenfurtner, K. R. (2003). Cortical mechanisms of colour
vision. Nature Reviews Neuroscience,
4, 563-572. [pdf]
- Gegenfurtner, K. R., & Kiper, D. C. (2003). Color
vision. Annual Review of
Neuroscience, 26, 181-206. [pdf]
Michael
Goldberg, Columbia University, New York,
studies the physiology of cognitive processes to understand how the brain
accomplishes visual attention, spatial perception,
and decision-making (psychophysics, neurophysiology).
- Bisley, J. W. & Goldberg, M. E. (2003). The role of the
parietal cortex in the neural processing of saccadic eye movements. Adv Neurology, 93, 141-157. [pdf]
- Colby, C. L. & Goldberg, M. E. (1999). Space and
attention in parietal cortex. Annual
Review of Neuroscience, 22, 319-349. [pdf]
Charles
Heywood & Robert Kentridge,
University of Durham, work on cortical
processes in colour vision. They study patients with selective visual
disorders (psychophysics, PET).
- Kentridge, R. W. (2003). Bookchapter on "Blindsight". [pdf]
- Heywood, C. A. & Kentridge, R. W. (2003).
Achromatopsia, color vision, and cortex. Neurologic Clinics of North America, 21,
483-500. [pdf]
Concetta Morrone,
CNR Pisa / Milano, works on the encoding of
optic flow and
the separate visual processing in the color and the motion pathways
(psychophysics, modeling).
- Morrone, M. C., Ross, J., & Burr, D. (2005). Saccadic
eye movements cause compression of time as well as space. Nature
Neuroscience, 8, 950-954. [pdf]
- Perna, A., Tosetti, M., Montanaro, D., & Morrone, M. C.
(2005). Neuronal mechanisms for illusory brigthness perception in
humans. Neuron, 47, 645-651. [pdf]
Tony Movshon,
Center for Neural Science, New York,
studies the function and development of the primate visual
system, particularly the neurophysiological basis of motion
perception (electrophysiology, psychophysics).
V1 Lecture:
- Carandini,
M., Heeger, D. J., & Movshon, J. A. (1997). Linearity and
normalization in simple cells of the macaque primary visual cortex. Journal of Neuroscience, 17,
8621-8644. [pdf]
- Rust, N. C., Schwartz, O., Simoncelli, E. P., &
Movshon, J. A. (2005). Spatiotemporal elements of macaque V1 receptive
fields. Neuron, 46, 945-956. [pdf]
MT Lecture:
- Smith,
M. A., Majaj, N. J., & Movshon, J. A. (2005). Dynamics of motion
signaling by neurons in macaque area MT. Nature Neuroscience, 8, 220-228. [pdf]
- Movshon, J. A., Adelson, E. H., Gizzi, M. S., &
Newsome, W. T. (1985). The analysis of moving visual patterns. In C.
Chagas, R. Gattass, & C.Gross (Eds.), Pattern Recognition
Mechanisms. Pontificiae Academiae Scientiarum Scripta Varia, 54,
117-151. Rome: Vatican Press. (Reprinted in Experimental Brain
Research, Supplementum 11, 117-151, 1986). [pdf]
Zoe
Kourtzi,
University of Birmingham, investigates
the neural mechanisms underlying recognition and categorization of
natural objects and scenes, focusing on the contribution of higher
cognitive
processes, learning, and developmental plasticity (fMRI, psychophysics).
- Kourtzi, Z., et al. (2003). Integration of local features
into global shapes: Monkey and human fMRI studies. Neuron, 37, 333-346. [pdf]
- Kourtzi, Z., DiCarlo, J. J. (2006). Learning and neural
plasticity in visual object recognition. Current Opinion in Neurobiology, 16,
152-158. [pdf]
Pieter Roelfsema,
Netherlands Institute for Neurosciences, Amsterdam,
is interested in how attentional processes coordinate neuronal activity
in different brain areas (electrophysiology).
- Roelfsema, P. R. (2006). Cortical algorithms for perceptual
grouping. Annual Review of
Neuroscience, 29, 203-227. [pdf]
- Roelfsema, P. R. (2005). Elemental operations in vision. Trends in Cognitive Sciences, 9,
226-233. [pdf]
Simon
Thorpe, CNRS Toulouse, works on object recognition and
the
classification of natural scenes (psychophysics,
modeling).
- Kirchner, H. & Thorpe, S. J.
(2006). Ultra-rapid object detection with saccadic eye movements:
Visual processing speed revisited. Vision Research, 46, 1762-76. [pdf]
- VanRullen, R. & Thorpe, S. J.
(2002). Surfing a spike wave down the ventral stream. Vision Research,
42, 2593-615. [pdf]
Roger
Tootell, Harvard Medical School,
studies the
functional organization of primate visual cortex, concentrating on
retinotopic organization, visual motion sensitivity, the processing of
visual objects, and visual spatial attention (fMRI, electrophysiology).
- Tsao, D. Y., et al. (2006). A cortical region consisting
entirely of face-selective cells. Science,
311, 670-674. [pdf]
Stefan
Treue, German Primate Center
Göttingen,
works
on the neural correlates of attention in primate visual cortex
(electrophysiology, psychophysics, modeling).
- Treue, S. (2001). Neural correlates of attention in primate
visual cortex. Trends in
Neurosciences, 24, 295-300. [pdf]
Heinz
Wässle, Max-Planck-Institute for Brain Research
Frankfurt,
studies the
synaptic
circuits of the mammalian retina using light and electron microscopy,
in
order to understand their role in the transfer and processing of light
signals (anatomy, electrophysiology).
- Masland, R. H. (2001). The fundamental plan of the retina. Nature Neuroscience, 4, 877-886. [pdf]
- He, S., et al. (2003). Seeing more clearly. Recent advances
in understanding retinal circuitry. Science,
302, 408-411. [pdf]
Andrew
Welchman,
University of Birmingham, is interested in the
mechanisms underlying the ability to perceive the 3D-structure
of the visual environment, particulary, the use of depth cues, the
integration of information from different sensory modalities, and the
role of prior experience (psychophysics, fMRI).
- DeAngelis, G. C.
(2000). Seeing in three dimensions: The neurophysiology of stereopsis.
Trends in Cognitive Science, 4, 80-90. [pdf]
- Welchman, A. E., et
al. (2005). 3D Shape perception from combined depth cues in human
visual cortex. Nature Neuroscience, 8, 820-827. [pdf]
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