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Computational Neuroscience
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Computational Neuroscience

Perception & Cognition  - 
 
Neuroscience of Consciousness, Part I and II
exploring neural correlates of biopsychosocial phenomena
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In this paper we examine how a neuron’s dendritic morphology can affect its pattern recognition performance. We use two different algorithms to systematically explore the space of dendritic morphologies: an algorithm that generates all possible dendritic trees with 22 terminal points, and one that creates representative samples of trees with 128 terminal points. Based on these trees, we construct multi-compartmental models. To assess the performa...
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"...we developed a model in which spikes are generated by a Poisson process whose rate is the product of a drive that is sensory in origin and a gain summarizing stimulus-independent modulatory influences on excitability. This model provides an accurate account of response distributions of visual neurons in macaque lateral geniculate nucleus and cortical areas V1, V2 and MT, revealing that variability originates in large part from excitability fluctuations that are correlated over time and between neurons, and that increase in strength along the visual pathway. "
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"Today at the White House, President Obama unveiled the “BRAIN” Initiative—a bold new research effort to revolutionize our understanding of the human mind and uncover new ways to treat, prevent, and cure brain disorders like Alzheimer’s, schizophrenia, autism, epilepsy, and traumatic brain injury.

The BRAIN Initiative — short for Brain Research through Advancing Innovative Neurotechnologies — builds on the President’s State of the Union call for historic investments in research and development to fuel the innovation, job creation, and economic growth that together create a thriving middle class."

#BRAIN
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Neuroscience of Consciousness, Part II #consciousness  
exploring neural correlates of biopsychosocial phenomena
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The Neuroscience of Consciousness
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Dr Jamie Walker. BioDynamics Workshop. BioDynamics Workshop: Emergent Dynamics of Complex Biological Networks. 23-24 June 2014. Workshop venue. The Innovation Centre University of Exeter Rennes Drive Exeter UK EX4 4RN Link to venue website. REGISTRATION ENDS ON TUESDAY 10 JUNE !
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Here the author shows that an unstructured, sparsely connected network of model spiking neurons can display two different types of asynchronous activity: one in which an external input leads to a highly redundant response of different neurons that favors information transmission and another in which the firing rates of individual neurons fluctuate strongly in time and across neurons to provide a substrate for complex information processing.
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Have them in circles
3,278 people
Gautam Das's profile photo
Ian Ranson's profile photo
Vash Cai's profile photo
Brandon Hess's profile photo
Selva Raj's profile photo
Mike Bruning's profile photo
Nafiu Shaibu's profile photo
Vivek Shaker's profile photo
SOMSUBHRA ROY's profile photo
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Mathematical and Computational Methods in Neuroscience
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A home for links and news regarding computational, theoretical, and mathematical neuroscience.
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