Confirmed
speakers
Dora Angelaki, Washington University in Saint Louis, is interested in the multisensory integration necessary for self-motion perception, spatial orientation and the control of movement.
Alessandra Angelucci, University of Utah, is interested in
the wiring and functional properties of the visual cortex and investigating the visual centers of the brain.
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]
Matteo
Carandini, Institute of Ophthalmology, University College London, is mainly interestes in the early
visual system and and how it does what it does. He seeks to understand
how the early visual system is wired up and to find
simple mathematical expressions to describe its output.
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]
- Hansen, T., Olkkonen, M., Walter, S. & Gegenfurtner,
K.R.
(2006) Memory
modulates color appearance. Nature
Neuroscience, 9,
1367-1368.
John-Dylan
Haynes, Bernstein Center for Computational Neuroscience, Berlin, investigates
ways to decode and predict a person’s thoughts based from functional
magnetic resonance imaging (fMRI) data.
-
Haynes,
J and Rees, G (2005). Predicting the orientation of invisible stimuli
from activity in human primary visual cortex. Nat Neurosci
8(5):686-691.
- Haynes, J and Rees, G (2006).
Decoding mental states from brain activity in humans. Nat Rev
Neurosci 7(7):523-534.
Zoe Kourtzi, University of Birmingham, focuses on
imaging the neural processes in the human brain that mediate complex, adaptive cognitive functions and behaviour.
Ilona Kovacs, Budapest University of Technology and Economics, focuses on
imaging the neural processes in the human brain that mediate complex, adaptive cognitive functions and behaviour.
Pascal Mamassian, Université Paris Descartes, is interested in
three-dimensional perception, bayesian modelling, motion and binocular transparency, and others.
Larry Maloney, New York
University, works on models of human performance
based on mathematical statistics, physics and mathematics.
- Ernst, M. O. & Bülthoff, H. H. (2004). Merging the senses into a robust percept. Trends in Cognitive Science, 8, 162-169.[pdf]
- Trommershäuser, J., Maloney, L. T. & Landy M. S. (2008). Decision making, movement planning and statistical decision theory. Trends in Cognitive Science, 12, 291-297.
[pdf]
- Geisler, W.S. (1989). Sequential-ideal observer analysis of visual discriminations. Psychological Review,
96, 267-314.[pdf]
- Landy, M. S., Maloney, L. T., Johnston, E. B., & Young, M. (1995). Measurement and modeling of depth cue combination: In defense of weak fusion. Vision Research, 35, 389-412.
[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:
- Lennie, P., & Movshon, J. A. (2005). Coding of color an
form in the geniculostriate visual pathway. Journal of the Optical Society of America
A, 22(10),
2013-2033. [pdf]
- Rust, N. C., & Movshon, J. A. (2005). In praise of
artifice. Nature Neuroscience, 8(12),
1647-1650. [pdf]
MT Lecture:
- Rust, N. C., Mante, V., Simoncelli, E. P., & Movshon,
J. A. (2006). How MT cells analyze the motion of visual patterns Nature Neuroscience, 9(11),
1421-1431. [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]
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]
Stefan
Treue, German Primate Center
Göttingen,
works
on the neural correlates of attention in primate visual cortex
(electrophysiology, psychophysics, modeling).
- Maunsell, J. H. R., & Treue, S. (2006). Feature-based
attention in
visual cortex. Trends in
Neurosciences, 29(6), 317-322. [pdf]
- 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
psychophysics and modelling of 3D vision, brain imaging and movement synchronisation.
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