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Learning in the oculomotor system: from molecules to behavior
Learning in the oculomotor system: from molecules to behavior

... VOR [19]: for example, if head movements are paired with movements of the visual surround in the same direction as the head movements, a gradual reduction in the gain of the VOR is induced; whereas, if head movements are paired with movements of the visual surround in the opposite direction from the ...
Neuronal Competition and Selection During Memory Formation
Neuronal Competition and Selection During Memory Formation

Theroleofdendritesinauditory coincidence detection
Theroleofdendritesinauditory coincidence detection

... sounds1,2. Each neuron receives many narrow-band inputs from both ears and compares the time of arrival of the inputs with an accuracy of 10–100 ms (refs 3–6). Neurons that receive lowfrequency auditory inputs (up to about 2 kHz) have bipolar dendrites, and each dendrite receives inputs from only on ...
The Neuropsychology of Sigmund Freud
The Neuropsychology of Sigmund Freud

... connections with other neurons, i.e., several contact barriers. He details explicitly the conditions under which transmission of excitation takes place and under what conditions it does not take place. (For these, see below, under Functional Localization.) Thus he shows that the possibility exists f ...
Rewardguided learning beyond dopamine in the nucleus
Rewardguided learning beyond dopamine in the nucleus

... reward, monkeys were trained to associate a stimulus with the delivery of juice (Waelti et al., 2001) and subsequently respond to the stimulus with a CR – anticipatory licking. The monkey’s licking could be goaldirected, because it believes it is necessary to obtain juice. Alternatively, licking can ...
Tracking the Emergence of Conceptual Knowledge during Human
Tracking the Emergence of Conceptual Knowledge during Human

... At a behavioral level, the improvement in participants’ performance on learning trials during the Initial session (Figure 2B) was paralleled by the emergence of spatial and nonspatial conceptual knowledge indexed by probe trials (Figure 2D). Importantly, conceptual knowledge exerted a significant in ...
Learning to classify complex patterns using a VLSI network of
Learning to classify complex patterns using a VLSI network of

... Dr. Giacomo Indiveri ...
2015 Cosyne Program
2015 Cosyne Program

... About Cosyne The annual Cosyne meeting provides an inclusive forum for the exchange of experimental and theoretical/computational approaches to problems in systems neuroscience. To encourage interdisciplinary interactions, the main meeting is arranged in a single track. A set of invited talks are se ...
Program Book - Organization for Computational Neurosciences
Program Book - Organization for Computational Neurosciences

... Wireless is available throughout the conference location. To use wireless you will be given an account and password at registration which will allow you to connect via services provided by EUCS (Edinburgh University Computing Services). The account will allow you to connect via either VPN (Virtual P ...
Probing neural circuits in the zebrafish: a suite of optical techniques
Probing neural circuits in the zebrafish: a suite of optical techniques

Synaptic Integration in Rat Frontal Cortex Shaped by Network Activity
Synaptic Integration in Rat Frontal Cortex Shaped by Network Activity

[ABSTRACT] - University of Twente Student Theses
[ABSTRACT] - University of Twente Student Theses

... In the imitation condition the participants were asked to observe sequences of button presses presented on the monitor, and to reproduce them from memory using the physical response box immediately after they had been presented on the screen for a total of four times. Each trial from the imitation c ...
Full Article  - CIHR Research Group in Sensory
Full Article - CIHR Research Group in Sensory

... superior colliculus (dSC) in covert orienting. Two monkeys were trained on a predictive cued-saccade task in which the cue predicted the target’s upcoming location with 80% validity. When the delay between cue and target onset was 250 ms, both monkeys showed faster responses to the uncued (Invalid) ...
“Congruent” and “Opposite” Neurons: Sisters for Multisensory
“Congruent” and “Opposite” Neurons: Sisters for Multisensory

... the disparity information between the cues is lost, and the brain can no longer discriminate objects clearly when the cues actually come from different objects. To solve this dilemma, here we argue that the brain needs to carry out multisensory integration and segregation concurrently in the early s ...
Congruent Activity during Action and Action Observation in Motor
Congruent Activity during Action and Action Observation in Motor

CATEGORIES IN THE PIGEON BRAIN - Ruhr-Universität
CATEGORIES IN THE PIGEON BRAIN - Ruhr-Universität

... stimulus, where the entries represented the activity of one recorded cell. The activity was calculated as the average number of spikes within the 2 s window of each particular stimulus presentation based on all completed presentations of this stimulus within a session. To account for different firin ...
The Effect of Slow Electrical Stimuli to Achieve Learning in Cultured
The Effect of Slow Electrical Stimuli to Achieve Learning in Cultured

Modeling stability in neuron and network function: the role of activity
Modeling stability in neuron and network function: the role of activity

... is, neurons that are generating single spikes followed by a sustained plateau phase. Although the voltage trajectories of these three model neurons are quite similar, they vary dramatically in their conductance densities: neuron 1 has a high Naþ conductance and a low delayed rectifier Kþ conductance ...
Simulating in vivo-like Synaptic Input Patterns in Multicompartmental
Simulating in vivo-like Synaptic Input Patterns in Multicompartmental

Behavioral flexibility is increased by optogenetic inhibition of
Behavioral flexibility is increased by optogenetic inhibition of

A circular model for song motor control in Serinus canaria
A circular model for song motor control in Serinus canaria

... that these fire sparsely with precisely timed bursts produced at specific time points in the song motif. It was conjectured that each observed burst represents only a short subset of a continuous chain of activity patterns and, thus, in combination the bursts cover the entire duration of the song (e ...
NETMORPH: A Framework for the Stochastic
NETMORPH: A Framework for the Stochastic

... co-workers (e.g., Van Pelt and Uylings 2003; Van Ooyen and Van Pelt 1994). These models take a stochastic approach based on simple rules (functions) for neurite branching and elongation. They have been validated for a variety of neuronal cell types and have been demonstrated to accurately describe t ...
A Computational Model of the Amygdala Nuclei`s Role in - laral
A Computational Model of the Amygdala Nuclei`s Role in - laral

Hippocampal region - NeuronDevelopment.org
Hippocampal region - NeuronDevelopment.org

Stimulus Configuration, Classical Conditioning, and
Stimulus Configuration, Classical Conditioning, and

... Northwestern University Hippocampal participation in classical conditioning is described in terms of a multilayer network that portrays stimulus configuration. The network (a) describes behavior in real time, (b) incorporates a layer of "hidden" units positioned between input and output units, (c) i ...
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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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