Literature DB >> 8334189

The RF-cinematogram. A cross-correlation technique for mapping several visual receptive fields at once.

R Eckhorn1, F Krause, J I Nelson.   

Abstract

We present a spike-triggered averaging method capable of mapping the visual receptive fields of several neurons simultaneously. The stimulation is general and the mapping proceeds automatically without the need to match the stimulation to the cells' preference for position, orientation, direction, etc. The maps are spatiotemporal; receptive field (RF) structures are quantitatively determined in three dimensions: the two dimensions of visuotopic space, and time. The method presented is one of a family of "reverse correlation" or "spike-triggered averaging" techniques (DeBoer and Kuyper 1968) capable of revealing linear aspects of stimulus-response coupling. The formal relationship of these methods to stimulus-response cross-correlation is shown. The analysis is extended to provide some second-order axis-of-motion information ("direction marks"). The stimulus is a constantly illuminated, randomly jumping bright or dark spot, not an elongated bar. Spot diameters between one-third to 1 x RF width are effective. The method ascertains for each recorded action potential or "spike" the prior visual field position of the spot. The average or most probable spot positions define the receptive field spatially. Repeating the process for a succession of times prior to observed spikes defines the field temporally, presented here as a succession of spatial maps. We term this portrayal a receptive field cinematogram, RFc or ciné. The RFc reveals and economically portrays the spread of excitability and suppression across the receptive field, culminating in the generation of a spike. RFcs for LGN neurons and for simple cells recorded in cat cortical areas 17 and 18 are presented and interpreted in terms of classic ON/OFF regions. The availability of temporal information permits the separation of an excitatory exit response, generated when a moving bright spot leaves an OFF region, from an excitatory entrance response occurring when a bright spot enters an ON region, because these responses occur at different times (exit responses earlier). Spike emission remains coupled to (cross-correlated with) stimulus events over time periods as long as 96 ms, implying that some stimulus drive or afferent visual input is delayed by as much as 96 ms more than other input. This is a striking instance of temporal dispersion in the visual system. In some cells, said to be "spatiotemporally inseparable", the delay (latency) varies systematically across the visual field; i.e., the place for optimal stimulation varies with the time prior to spike emission. In these cells, the RFc shows receptive field structures which move across the visual field over trajectories equal to approximately twice the total conventional RF width.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1993        PMID: 8334189     DOI: 10.1007/bf00201407

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  42 in total

1.  Spatial and temporal coherence in cortico-cortical connections: a cross-correlation study in areas 17 and 18 in the cat.

Authors:  J I Nelson; P A Salin; M H Munk; M Arzi; J Bullier
Journal:  Vis Neurosci       Date:  1992-07       Impact factor: 3.241

2.  Receptive field classes of cells in the striate cortex of the cat.

Authors:  G H Henry
Journal:  Brain Res       Date:  1977-09-09       Impact factor: 3.252

3.  Dynamics of neuronal firing correlation: modulation of "effective connectivity".

Authors:  A M Aertsen; G L Gerstein; M K Habib; G Palm
Journal:  J Neurophysiol       Date:  1989-05       Impact factor: 2.714

4.  Alopex: a stochastic method for determining visual receptive fields.

Authors:  E Harth; E Tzanakou
Journal:  Vision Res       Date:  1974-12       Impact factor: 1.886

5.  Responses to visual contours: spatio-temporal aspects of excitation in the receptive fields of simple striate neurones.

Authors:  P O Bishop; J S Coombs; G H Henry
Journal:  J Physiol       Date:  1971-12       Impact factor: 5.182

6.  A comparison of the spectro-temporal sensitivity of auditory neurons to tonal and natural stimuli.

Authors:  A M Aertsen; P I Johannesma
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

7.  Evaluation of neuronal connectivity: sensitivity of cross-correlation.

Authors:  A M Aertsen; G L Gerstein
Journal:  Brain Res       Date:  1985-08-12       Impact factor: 3.252

8.  Multi-electrode recording system for the study of spatio-temporal activity patterns of neurons in the central nervous system.

Authors:  H J Reitböck; G Werner
Journal:  Experientia       Date:  1983-03-15

9.  Receptive field structure of area 19 as compared to area 17 of the cat.

Authors:  J Duysens; G A Orban; H W van der Glas; H Maes
Journal:  Brain Res       Date:  1982-01-14       Impact factor: 3.252

10.  Response of cat retinal ganglion cells to moving visual patterns.

Authors:  R W Rodieck; J Stone
Journal:  J Neurophysiol       Date:  1965-09       Impact factor: 2.714

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  6 in total

1.  Tuned solutions in dynamic neural fields as building blocks for extended EEG models.

Authors:  Thomas Wennekers
Journal:  Cogn Neurodyn       Date:  2008-04-18       Impact factor: 5.082

2.  Receptive field plasticity of area 17 visual cortical neurons of adult rats.

Authors:  Ralph Leonhardt; Hubert R Dinse
Journal:  Exp Brain Res       Date:  2009-09-16       Impact factor: 1.972

3.  Clustering of self-motion selectivity and visual response properties in macaque area MSTd.

Authors:  Aihua Chen; Yong Gu; Katsumasa Takahashi; Dora E Angelaki; Gregory C Deangelis
Journal:  J Neurophysiol       Date:  2008-08-27       Impact factor: 2.714

4.  Spatiotemporal receptive field properties of epiretinally recorded spikes and local electroretinograms in cats.

Authors:  Marcus Wilms; Reinhard Eckhorn
Journal:  BMC Neurosci       Date:  2005-08-15       Impact factor: 3.288

5.  Scale-invariance of receptive field properties in primary visual cortex.

Authors:  Tobias Teichert; Thomas Wachtler; Frank Michler; Alexander Gail; Reinhard Eckhorn
Journal:  BMC Neurosci       Date:  2007-06-11       Impact factor: 3.288

6.  Primary visual cortex represents the difference between past and present.

Authors:  Nora Nortmann; Sascha Rekauzke; Selim Onat; Peter König; Dirk Jancke
Journal:  Cereb Cortex       Date:  2013-12-15       Impact factor: 5.357

  6 in total

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