Literature DB >> 17898205

Stimulus feature selectivity in excitatory and inhibitory neurons in primary visual cortex.

Jessica A Cardin1, Larry A Palmer, Diego Contreras.   

Abstract

Although several lines of evidence suggest that stimulus selectivity in somatosensory and visual cortices is critically dependent on unselective inhibition, particularly in the thalamorecipient layer 4, no comprehensive comparison of the responses of excitatory and inhibitory cells has been conducted. Here, we recorded intracellularly from a large population of regular spiking (RS; presumed excitatory) and fast spiking (FS; presumed inhibitory) cells in layers 2-6 of primary visual cortex. In layer 4, where selectivity for orientation and spatial frequency first emerges, we found no untuned FS cells. Instead, the tuning of the spike output of layer 4 FS cells was significantly but moderately broader than that of RS cells. However, the tuning of the underlying synaptic responses was not different, indicating that the difference in spike-output selectivity resulted from differences in the transformation of synaptic input into firing rate. Layer 4 FS cells exhibited significantly lower input resistance and faster time constants than layer 4 RS cells, leading to larger and faster membrane potential (V(m)) fluctuations. FS cell V(m) fluctuations were more broadly tuned than those of RS cells and matched spike-output tuning, suggesting that the broader spike tuning of these cells was driven by visually evoked synaptic noise. These differences were not observed outside of layer 4. Thus, cell type-specific differences in stimulus feature selectivity at the first level of cortical sensory processing may arise as a result of distinct biophysical properties that determine the dynamics of synaptic integration.

Mesh:

Year:  2007        PMID: 17898205      PMCID: PMC3025280          DOI: 10.1523/JNEUROSCI.1692-07.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  58 in total

1.  Neural noise can explain expansive, power-law nonlinearities in neural response functions.

Authors:  Kenneth D Miller; Todd W Troyer
Journal:  J Neurophysiol       Date:  2002-02       Impact factor: 2.714

2.  Prediction of orientation selectivity from receptive field architecture in simple cells of cat visual cortex.

Authors:  I Lampl; J S Anderson; D C Gillespie; D Ferster
Journal:  Neuron       Date:  2001-04       Impact factor: 17.173

3.  Dynamics of orientation tuning in macaque V1: the role of global and tuned suppression.

Authors:  Dario L Ringach; Michael J Hawken; Robert Shapley
Journal:  J Neurophysiol       Date:  2003-02-26       Impact factor: 2.714

4.  Functionally distinct inhibitory neurons at the first stage of visual cortical processing.

Authors:  Judith A Hirsch; Luis M Martinez; Cinthi Pillai; Jose-Manuel Alonso; Qingbo Wang; Friedrich T Sommer
Journal:  Nat Neurosci       Date:  2003-11-16       Impact factor: 24.884

5.  Synaptic basis for intense thalamocortical activation of feedforward inhibitory cells in neocortex.

Authors:  Scott J Cruikshank; Timothy J Lewis; Barry W Connors
Journal:  Nat Neurosci       Date:  2007-03-04       Impact factor: 24.884

6.  Mechanisms underlying cross-orientation suppression in cat visual cortex.

Authors:  Nicholas J Priebe; David Ferster
Journal:  Nat Neurosci       Date:  2006-03-05       Impact factor: 24.884

7.  Orientation selectivity of thalamic input to simple cells of cat visual cortex.

Authors:  D Ferster; S Chung; H Wheat
Journal:  Nature       Date:  1996-03-21       Impact factor: 49.962

8.  Strength and orientation tuning of the thalamic input to simple cells revealed by electrically evoked cortical suppression.

Authors:  S Chung; D Ferster
Journal:  Neuron       Date:  1998-06       Impact factor: 17.173

9.  Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex.

Authors:  D A McCormick; B W Connors; J W Lighthall; D A Prince
Journal:  J Neurophysiol       Date:  1985-10       Impact factor: 2.714

10.  Balanced excitation and inhibition determine spike timing during frequency adaptation.

Authors:  Michael J Higley; Diego Contreras
Journal:  J Neurosci       Date:  2006-01-11       Impact factor: 6.167

View more
  96 in total

1.  Inferring the role of inhibition in auditory processing of complex natural stimuli.

Authors:  Nadja Schinkel-Bielefeld; Stephen V David; Shihab A Shamma; Daniel A Butts
Journal:  J Neurophysiol       Date:  2012-03-28       Impact factor: 2.714

2.  Population receptive fields of ON and OFF thalamic inputs to an orientation column in visual cortex.

Authors:  Jianzhong Jin; Yushi Wang; Harvey A Swadlow; Jose M Alonso
Journal:  Nat Neurosci       Date:  2011-01-09       Impact factor: 24.884

Review 3.  Dissecting local circuits in vivo: integrated optogenetic and electrophysiology approaches for exploring inhibitory regulation of cortical activity.

Authors:  Jessica A Cardin
Journal:  J Physiol Paris       Date:  2011-09-19

4.  Cortical inhibition reduces information redundancy at presentation of communication sounds in the primary auditory cortex.

Authors:  Quentin Gaucher; Chloé Huetz; Boris Gourévitch; Jean-Marc Edeline
Journal:  J Neurosci       Date:  2013-06-26       Impact factor: 6.167

5.  Tracing inputs to inhibitory or excitatory neurons of mouse and cat visual cortex with a targeted rabies virus.

Authors:  Yong-Jun Liu; Markus U Ehrengruber; Moritz Negwer; Han-Juan Shao; Ali H Cetin; David C Lyon
Journal:  Curr Biol       Date:  2013-08-29       Impact factor: 10.834

6.  Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression.

Authors:  Robert M Shapley; Dajun Xing
Journal:  Neural Netw       Date:  2012-09-20

7.  Diverse effects of stimulus history in waking mouse auditory cortex.

Authors:  Elizabeth A K Phillips; Christoph E Schreiner; Andrea R Hasenstaub
Journal:  J Neurophysiol       Date:  2017-05-31       Impact factor: 2.714

8.  Intracellular, In Vivo, Dynamics of Thalamocortical Synapses in Visual Cortex.

Authors:  Madineh Sedigh-Sarvestani; Leif Vigeland; Ivan Fernandez-Lamo; M Morgan Taylor; Larry A Palmer; Diego Contreras
Journal:  J Neurosci       Date:  2017-04-24       Impact factor: 6.167

9.  Flexibility of sensory representations in prefrontal cortex depends on cell type.

Authors:  Cory R Hussar; Tatiana Pasternak
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

Review 10.  Mechanisms of neuronal computation in mammalian visual cortex.

Authors:  Nicholas J Priebe; David Ferster
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.