David C. Somers

Prof. David C. Somers

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Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 February 1999 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
DSDavid C. Somers
David C. Somers
ADAnders M. Dale
Anders M. Dale
ASAdriane E. Seiffert
Adriane E. Seiffert
RTRoger B. H. Tootell
Roger B. H. Tootell
Selective visual attention can strongly influence perceptual processing, even for apparently low-level visual stimuli. Although it is largely accepted that attention modulates neural activity in extrastriate visual cortex, the extent to which attention operates in the first cortical stage, striate visual cortex (area V1), remains controversial. Here, functional MRI was used at high field strength (3 T) to study humans during attentionally demanding visual discriminations. Similar, robust attentional modulations were observed in both striate and extrastriate cortical areas. Functional mapping of cortical retinotopy demonstrates that attentional modulations were spatially specific, enhancing responses to attended stimuli and suppressing responses when attention was directed elsewhere. The spatial pattern of modulation reveals a complex attentional window that is consistent with object-based attention but is inconsistent with a simple attentional spotlight. These data suggest that neural processing in V1 is not governed simply by sensory stimulation, but, like extrastriate regions, V1 can be strongly and specifically influenced by attention.

16 May 2007 in Journal of Neuroscience
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Journal Article
Open access
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JSJascha D. Swisher
Jascha D. Swisher
MHMark A. Halko
Mark A. Halko
LMLotfi B. Merabet
Lotfi B. Merabet
SMStephanie A. McMains
Stephanie A. McMains
DSDavid C. Somers
David C. Somers
Human parietal cortex is implicated in a wide variety of sensory and cognitive functions, yet its precise organization remains unclear. Visual field maps provide a potential structural basis for descriptions of functional organization. Here, we detail the topography of a series of five maps of the contralateral visual hemifield within human posterior parietal cortex. These maps are located along the medial bank of the intraparietal sulcus (IPS) and are revealed by direct visual stimulation during functional magnetic resonance imaging, allowing these parietal regions to be routinely and reliably identified simultaneously with occipital visual areas. Two of these maps (IPS3 and IPS4) are novel, whereas two others (IPS1 and IPS2) have previously been revealed only by higher-order cognitive tasks. Area V7, a previously identified visual map, is observed to lie within posterior IPS and to share a foveal representation with IPS1. These parietal maps are reliably observed across scan sessions; however, their precise topography varies between individuals. The multimodal organization of posterior IPS mirrors this variability in visual topography, with complementary tactile activations found immediately adjacent to the visual maps both medially and laterally. These visual maps may provide a practical framework in which to characterize the functional organization of human IPS.

1 March 1993 in Biological Cybernetics
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Journal Article
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DSDavid C. Somers
David C. Somers
NKNancy Kopell
Nancy Kopell

1 May 2004 in Neuron
Verified
Journal Article
Closed access
SMStephanie A McMains
Stephanie A McMains
DSDavid C. Somers
David C. Somers

1 August 2015 in Neuron
Verified
Journal Article
Closed access
SMSamantha W. Michalka
Samantha W. Michalka
LKLingqiang Kong
Lingqiang Kong
MRMaya L. Rosen
Maya L. Rosen
BSBarbara G. Shinn-Cunningham
Barbara G. Shinn-Cunningham
DSDavid C. Somers
David C. Somers

1 April 1998 in Cerebral Cortex
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Journal Article
Closed access
PDF file
DSDavid C. Somers
David C. Somers
ETE V Todorov
E V Todorov
ASA G Siapas
A G Siapas
LTL J Toth
L J Toth
DKD S Kim
D S Kim
MSM Sur
M Sur
Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we have examined how primary visual cortical neurons integrate classical and nonclassical receptive field inputs. The effect of nonclassical receptive field stimuli and, correspondingly, of long-range intracortical inputs is known to be context-dependent: the same long-range stimulus can either facilitate or suppress responses, depending on the level of local activation. By constructing a large-scale model of primary visual cortex, we demonstrate that this effect can be understood in terms of the local cortical circuitry. Each receptive field position contributes both excitatory and inhibitory inputs; however, the inhibitory inputs have greater influence when overall receptive field drive is greater. This mechanism also explains contrast-dependent modulations within the classical receptive field, which similarly switch between excitatory and inhibitory. In order to simplify analysis and to explain the fundamental mechanisms of the model, self-contained modules that capture nonlinear local circuit interactions are constructed. This work supports the notion that receptive field integration is the result of local processing within small groups of neurons rather than in single neurons.