scholarly journals The responses of single neurons in the temporal visual cortical areas of the macaque when more than one stimulus is present in the receptive field

1995 ◽  
Vol 103 (3) ◽  
Author(s):  
EdmundT. Rolls ◽  
MartinJ. Tovee
Keyword(s):  
Receptive Field ◽  
Single Neurons ◽  
Cortical Areas ◽  
Visual Cortical

Receptive-field structure of optic flow responsive Purkinje cells in the vestibulocerebellum of pigeons

2006 ◽  
Vol 23 (1) ◽  
pp. 115-126 ◽  
Author(s):  
IAN R. WINSHIP ◽  
DOUGLAS R.W. WYLIE
Keyword(s):  
Receptive Field ◽  
Purkinje Cells ◽  
Optic Flow ◽  
Flow Patterns ◽  
Field Structure ◽  
Local Motion ◽  
Cortical Areas ◽  
Invertebrate Species ◽  
Visual Cortical ◽  
Complex Computer

Neurons sensitive to optic flow patterns have been recorded in the the olivo-vestibulocerebellar pathway and extrastriate visual cortical areas in vertebrates, and in the visual neuropile of invertebrates. The complex spike activity (CSA) of Purkinje cells in the vestibulocerebellum (VbC) responds best to patterns of optic flow that result from either self-rotation or self-translation. Previous studies have suggested that these neurons have a receptive-field (RF) structure that “approximates” the preferred optic flowfield with a “bipartite” organization. Contrasting this, studies in invertebrate species indicate that optic flow sensitive neurons are precisely tuned to their preferred flowfield, such that the local motion sensitivities and local preferred directions within their RFs precisely match the local motion in that region of the preferred flowfield. In this study, CSA in the VbC of pigeons was recorded in response to a set of complex computer-generated optic flow stimuli, similar to those used in previous studies of optic flow neurons in primate extrastriate visual cortex, to test whether the receptive field was of a precise or bipartite organization. We found that these RFs were not precisely tuned to optic flow patterns. Rather, we conclude that these neurons have a bipartite RF structure that approximates the preferred optic flowfield by pooling motion subunits of only a few different direction preferences.

scholarly journals Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex

1997 ◽  
Vol 9 (4) ◽  
pp. 721-763 ◽  
Author(s):  
Rajesh P. N. Rao ◽  
Dana H. Ballard
Keyword(s):  
Receptive Field ◽  
Cortical Neurons ◽  
Visual Recognition ◽  
Neural Response ◽  
Neural Responses ◽  
Response Properties ◽  
Cortical Areas ◽  
Mdl Principle ◽  
Classical Receptive Field ◽  
Visual Cortical

The responses of visual cortical neurons during fixation tasks can be significantly modulated by stimuli from beyond the classical receptive field. Modulatory effects in neural responses have also been recently reported in a task where a monkey freely views a natural scene. In this article, we describe a hierarchical network model of visual recognition that explains these experimental observations by using a form of the extended Kalman filter as given by the minimum description length (MDL) principle. The model dynamically combines input-driven bottom-up signals with expectation-driven top-down signals to predict current recognition state. Synaptic weights in the model are adapted in a Hebbian manner according to a learning rule also derived from the MDL principle. The resulting prediction-learning scheme can be viewed as implementing a form of the expectation-maximization (EM) algorithm. The architecture of the model posits an active computational role for the reciprocal connections between adjoining visual cortical areas in determining neural response properties. In particular, the model demonstrates the possible role of feedback from higher cortical areas in mediating neurophysiological effects due to stimuli from beyond the classical receptive field. Simulations of the model are provided that help explain the experimental observations regarding neural responses in both free viewing and fixating conditions.

Subcortical structures projecting to visual cortical areas in squirrel monkey

1982 ◽  
Vol 209 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Johannes Tigges ◽  
M. Tigges ◽  
N. A. Cross ◽  
R. L. McBride ◽  
W. D. Letbetter ◽  
...  
Keyword(s):  
Squirrel Monkey ◽  
Subcortical Structures ◽  
Cortical Areas ◽  
Visual Cortical

scholarly journals Functional Specialization of Seven Mouse Visual Cortical Areas

Neuron ◽  
2011 ◽  
Vol 72 (6) ◽  
pp. 1040-1054 ◽  
Author(s):  
James H. Marshel ◽  
Marina E. Garrett ◽  
Ian Nauhaus ◽  
Edward M. Callaway
Keyword(s):  
Functional Specialization ◽  
Cortical Areas ◽  
Visual Cortical

Dynamic and static receptive field characteristics of single neurons in the lateral suprasylvian area in cats

1984 ◽  
Vol 16 (1) ◽  
pp. 105-111 ◽  
Author(s):  
R. L. Dzhavadyan ◽  
B. A. Arutyunyan-Kozak ◽  
�. G. Kas'yan
Keyword(s):  
Receptive Field ◽  
Single Neurons ◽  
Lateral Suprasylvian Area

Hedonic-Specific Activity in Piriform Cortex During Odor Imagery Mimics That During Odor Perception

2007 ◽  
Vol 98 (6) ◽  
pp. 3254-3262 ◽  
Author(s):  
Moustafa Bensafi ◽  
Noam Sobel ◽  
Rehan M. Khan
Keyword(s):  
Specific Activity ◽  
Piriform Cortex ◽  
Brain Regions ◽  
Specific Pattern ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Odor Perception ◽  
Cortical Areas ◽  
Visual Cortical ◽  
Left Insula

Although it is known that visual imagery is accompanied by activity in visual cortical areas, including primary visual cortex, whether olfactory imagery exists remains controversial. Here we asked whether cue-dependent olfactory imagery was similarly accompanied by activity in olfactory cortex, and in particular whether hedonic-specific patterns of activity evident in olfactory perception would also be present during olfactory imagery. We used functional magnetic resonance imaging to measure activity in subjects who alternated between smelling and imagining pleasant and unpleasant odors. Activity induced by imagining odors mimicked that induced by perceiving real odorants, not only in the particular brain regions activated, but also in its hedonic-specific pattern. For both real and imagined odors, unpleasant stimuli induced greater activity than pleasant stimuli in the left frontal portion of piriform cortex and left insula. These findings combine with findings from other modalities to suggest activation of primary sensory cortical structures during mental imagery of sensory events.

scholarly journals A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas

2018 ◽  
Vol 14 (10) ◽  
pp. e1006359 ◽  
Author(s):  
Maximilian Schmidt ◽  
Rembrandt Bakker ◽  
Kelly Shen ◽  
Gleb Bezgin ◽  
Markus Diesmann ◽  
...  
Keyword(s):  
Network Model ◽  
Resting State ◽  
Multi Scale ◽  
Cortical Areas ◽  
Scale Layer ◽  
Spiking Network ◽  
Visual Cortical
Sign in / Sign up

Export Citation Format

Share Document