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Zhang Yufeng - USD Biology
Zhang Yufeng - USD Biology

Emotion, Cognition, and Mental State Representation in Amygdala
Emotion, Cognition, and Mental State Representation in Amygdala

A dendritic disinhibitory circuit mechanism for pathway
A dendritic disinhibitory circuit mechanism for pathway

... read the word. One possible solution to this task is for a decisionmaking area to locally open its gate for the deliberate pathway (colour-naming) while closing its gate for the more automatic pathway (word-reading). Using computational models, we propose that the dendritic disinhibitory circuit can ...
The Roles of Dopamine - ETH E
The Roles of Dopamine - ETH E

Mechanisms for Stable, Robust, and Adaptive Development of
Mechanisms for Stable, Robust, and Adaptive Development of

Spike-based Winner-Take-All Computation in a Multi
Spike-based Winner-Take-All Computation in a Multi

... the spike-based winner-take-all network, by developing a theoretical model of its performance and describing its implementation in a large-scale multi-chip vision system. The winner-take-all is a neuronal network that amplifies the strongest set of inputs and suppresses output from the others. In va ...
A1 - 58 - University of Pittsburgh
A1 - 58 - University of Pittsburgh

... Joseph Sukinik, [email protected], Mahboobin 10:00, Alexander Meek, [email protected], Mena 3:00 Abstract—Currently 25-50% of all prosthetic limbs are rejected by the user because they turn out to be more of a burden than a blessing, and approximately 29% of limb loss victims experience some symptom of s ...
Spontaneous default mode network phase
Spontaneous default mode network phase

... in stereotype threatening contexts, error feedback (but not correct feedback) receives privileged access to working memory resources and is better encoded (Forbes and Leitner, 2014; Forbes et al., submitted), which could lead stigmatized students to overestimate errors and experience greater feeling ...
Stop-Signal Task - Gemstone Honors Program
Stop-Signal Task - Gemstone Honors Program

... model. Is there a correlation between patterns of neural firing in the dPL and variations in impulsivity in control rats? Is this firing disrupted and impulsivity increased in fetal nicotine rats? Will administration of Adderall® alter dPL firing and improve stop-signal task performance in fetal nic ...
The Use of Cross-Correlation Mapping in Identifying Backwards Projecting Connections between Visual Cortical Areas
The Use of Cross-Correlation Mapping in Identifying Backwards Projecting Connections between Visual Cortical Areas

... data by taking fMRI reading from humans viewing natural scenes. The response of each voxel to each image was determined using the hemodynamic response convolution protocol discussed in [6]. Since the protocol assumes that each voxel has a scalar response–more specifically, a scale on the unchanging ...
Input evoked nonlinearities in silicon dendritic circuits
Input evoked nonlinearities in silicon dendritic circuits

Representing Spatial Information for Limb - Research
Representing Spatial Information for Limb - Research

... ment with the code during maintenance of static posture. It is well known that static cell discharge is monotonically related to the corresponding position of the hand in space in Ml (Georgopoulos et al., 1984; Georgopoulos and Massey, 1985; Kettner et al., 1988), PMd (Caminiti et al., 1991), area 2 ...
Rationalizing Context-Dependent Preferences: Divisive
Rationalizing Context-Dependent Preferences: Divisive

Modelling Neuronal Mechanisms of the Processing of Tones and System
Modelling Neuronal Mechanisms of the Processing of Tones and System

... environment? This phenomenon occurs frequently, sometimes without us even consciously thinking about it; we listen to a friend speaking in a noisy environment (such as the proverbial cocktail party); we focus on a solo instrument in orchestral music; we find ourselves seated just in between two conv ...
The Dorsal Visual System Predicts Future and Remembers Past Eye
The Dorsal Visual System Predicts Future and Remembers Past Eye

Spiking Neurons - Computing Science and Mathematics
Spiking Neurons - Computing Science and Mathematics

Final system architecture, programming interfaces
Final system architecture, programming interfaces

Short Course III - David Kleinfeld - University of California San Diego
Short Course III - David Kleinfeld - University of California San Diego

Neuronal Activity and Ion Homeostasis in the Hypoxic Brain
Neuronal Activity and Ion Homeostasis in the Hypoxic Brain

... voltage dynamics and action potential generation, synaptic functioning, changes in extra- and intracellular concentrations (ions, molecular messengers, pH), glial uptake and blood flow regulation [8]. However, the dynamics of the interplay of these processes is largely unknown. As a consequence, the ...
CCNBook/Neuron
CCNBook/Neuron

Auto-structure of presynaptic activity defines postsynaptic firing
Auto-structure of presynaptic activity defines postsynaptic firing

... interspike intervals. The Fano factor of the coincidence count distribution for pairs of processes with identical spike-rates is represented in Fig. 3A for several coefficients of variations (CV ). High values of F FC indicate strong clustering. To describe the changes of F Fc we will use the Poisso ...
neuronal coding of prediction errors
neuronal coding of prediction errors

Imitation, Empathy, and Mirror Neurons
Imitation, Empathy, and Mirror Neurons

... transformed into a matching motor output by the imitator? For the ideomotor framework of action, the correspondence problem of imitation is not a problem at all. Indeed, the ideomotor framework assumes a common representational format for perception and action, an assumption that makes translational ...
Basal Ganglia: Mechanisms for Action Selection
Basal Ganglia: Mechanisms for Action Selection

... formed by reciprocal, inhibitory links between n behavior-representing nodes, contain n(n – 1) links and grow as 2n for every additional node. By contrast, a central selection device which is reciprocally connected with all n nodes (thus allowing control over the expression of each node’s represente ...
Imitation, Empathy, and Mirror Neurons
Imitation, Empathy, and Mirror Neurons

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Recurrent neural network

A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. This makes them applicable to tasks such as unsegmented connected handwriting recognition or speech recognition
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