about
Surround suppression and sparse coding in visual and barrel corticesAHaH computing-from metastable switches to attractors to machine learningNetwork connections that evolve to circumvent the inverse optics problemReceptive fields of single neurones in the cat's striate cortexSuppressive mechanisms in visual motion processing: From perception to intelligenceSeeing and hearing a word: combining eye and ear is more efficient than combining the parts of a word.A virtual retina for studying population codingEffects of remote stimulation on the mean firing rate of cat retinal ganglion cellsModelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search AsymmetriesStimulus size and intensity alter fundamental receptive-field properties of mouse retinal ganglion cells in vivo"Feature Detection" vs. "Predictive Coding" Models of Plant BehaviorPerceptual Pragmatism and the Naturalized Ontology of Color.A category-free neural population supports evolving demands during decision-making.Maximally informative "stimulus energies" in the analysis of neural responses to natural signals.The iso-response method: measuring neuronal stimulus integration with closed-loop experiments.Divisive normalization in olfactory population codes.Response patterns of single neurons in the tortoise olfactory epithelium and olfactory bulbParallel information processing channels created in the retina.Spatial segregation of adaptation and predictive sensitization in retinal ganglion cells.Two identified looming detectors in the locust: ubiquitous lateral connections among their inputs contribute to selective responses to looming objectsComputation in a single neuron: Hodgkin and Huxley revisited.A unified neural network model of spatiotemporal processing in X and Y retinal ganglion cells. II. Temporal adaptation and simulation of experimental data.Ganglion cell adaptability: does the coupling of horizontal cells play a role?Single units and visual cortical organization.Activation of the hypothalamic feeding centre upon visual prey detection.Mapping and cracking sensorimotor circuits in genetic model organisms."What Not" Detectors Help the Brain See in DepthColor in the cortex: single- and double-opponent cells.Spike-based population coding and working memory.Single units and sensation: a retrospect.Paradigm shifts: new techniques to answer new questions.Adaptation-dependent synchronous activity contributes to receptive field size change of bullfrog retinal ganglion cell.Lateral interactions in the outer retina.Textons, the elements of texture perception, and their interactions.Properties of plastic networksProperties of artificial neurons that report lightness based on accumulated experience with luminanceSurround modulation characteristics of local field potential and spiking activity in primary visual cortex of cat.Perspectives on: information and coding in mammalian sensory physiology: nonlinear spatial encoding by retinal ganglion cells: when 1 + 1 ≠ 2Mapping receptive fields in primary visual cortex.Tuned normalization explains the size of attention modulations.
P2860
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P2860
description
1953 nî lūn-bûn
@nan
1953 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
1953 թվականի հունվարին հրատարակված գիտական հոդված
@hy
1953年の論文
@ja
1953年論文
@yue
1953年論文
@zh-hant
1953年論文
@zh-hk
1953年論文
@zh-mo
1953年論文
@zh-tw
1953年论文
@wuu
name
Summation and inhibition in the frog's retina
@ast
Summation and inhibition in the frog's retina
@en
Summation and inhibition in the frog's retina
@nl
type
label
Summation and inhibition in the frog's retina
@ast
Summation and inhibition in the frog's retina
@en
Summation and inhibition in the frog's retina
@nl
prefLabel
Summation and inhibition in the frog's retina
@ast
Summation and inhibition in the frog's retina
@en
Summation and inhibition in the frog's retina
@nl
P3181
P1476
Summation and inhibition in the frog's retina
@en
P2093
H B BARLOW
P3181
P356
10.1113/JPHYSIOL.1953.SP004829
P407
P577
1953-01-01T00:00:00Z