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I agree with all of these copyright terms

... Dividing by r standardizes the dissonance index across different networks by controlling for the number of relevant relations. Self-connections, designated by wii, are excluded from this computation of dissonance. This definition of dissonance differs from Festinger's (1957) in that it is formalized ...
Spike Train SIMilarity Space (SSIMS): A Framework for Single
Spike Train SIMilarity Space (SSIMS): A Framework for Single

... fixed neighborhood size (which potentially leads to oversampling the dense cluster or undersampling the sparse one). Probability distributions describing local neighborhoods are modeled using pair-wise distances, which can be evaluated regardless of the dimensionality of the space. It is therefore p ...
Neural control of the circulation - Advances in Physiology Education
Neural control of the circulation - Advances in Physiology Education

... chemical stimuli (e.g., tissue metabolites and O2). Superimposed on this local control system is another level of regulation governed by changes in central neural activity that adjust cardiovascular function to meet the needs of the body as a whole. Such remote control is an important means to effec ...
Neural Darwinism
Neural Darwinism

... of secondaryrepertoires of neuronal groups in response to particular ...
Mapping the manuals of madness: Comparing the ICD
Mapping the manuals of madness: Comparing the ICD

... three on this index, indicating a small world structure, it has a similar average shortest path length, but a higher level of clustering, as compared to a network of the same dimensions, in which the same number of edges is assigned to node pairs completely at random (see Watts and Strogatz, 1998). ...
Cortico–basal ganglia circuit mechanism for a decision threshold in
Cortico–basal ganglia circuit mechanism for a decision threshold in

... behavior predicted by models in psychology7,10–12. A biophysically based neural network model13,14 offers a similar but modified picture, in which neural groups selective for opposite directions of motion compete with each other through local recurrent synaptic inhibition. Moreover, the model propos ...
Hippocampal mechanisms for the context-dependent retrieval of episodes 2005 Special issue
Hippocampal mechanisms for the context-dependent retrieval of episodes 2005 Special issue

... Dudchenko, Robtsek and Eichenbaum, 2000). On the left and middle panels of each example, the paths taken by the animals are plotted in light gray (left-turn trials) and dark-gray (right-turn trials) and the location of the rat when individual spikes occurred is indicated separately for left-turn tri ...
Saliency, switching, attention and control
Saliency, switching, attention and control

... human brain, providing a link between stimulus-driven processing and brain regions involved in monitoring the internal milieu (Craig 2009). We suggest that in order to comprehend insula function it is important to not only understand cognitive and affective tasks which modulate activity in this regi ...
Estimating Fast Neural Input Using Anatomical and
Estimating Fast Neural Input Using Anatomical and

Hold your horses: A dynamic computational role
Hold your horses: A dynamic computational role

... 2005b). In brief, the premotor cortex represents and “considers” two possible responses (R1 and R2) for each input stimulus. The BG system modulates which one of these responses is facilitated and which is suppressed by signaling Go or NoGo to each of the responses. The four columns of units in the ...
Distributed Modular Architectures Linking Basal Ganglia
Distributed Modular Architectures Linking Basal Ganglia

ppt - UC Davis Imaging Research Center
ppt - UC Davis Imaging Research Center

... across studies  No studies have been run assessing whether behavioral effects vary according to the type of switch required  Only recently have attempts been made to dissociate neural activity in regard to different types of shifts (Wager, et al., 2005).  We focus on two types of shifts:  Percep ...
The Primary Brain Vesicles Revisited: Are the Three
The Primary Brain Vesicles Revisited: Are the Three

... in the chick embryo at HH stage 10. However, HidalgoSánchez et al. [1999] reported that the so-called ‘mesencephalic vesicle’ at HH stage 10 contains not only the prospective mesencephalon but also a rostral part of the prospective rhombencephalon. This conclusion was based on the spatial expression ...
IV. Model Application: the UAV Autonomous Learning in Unknown
IV. Model Application: the UAV Autonomous Learning in Unknown

... generality for machine learning, while most of them are mathematical optimization driven approaches, and lack of cognitive evidence. In order to provide a more cognitive driven foundation, in this paper, we develop a basal ganglia network centric autonomous learning model. Compared to existing work ...
Fifty years of CPGs: two neuroethological papers that shaped BEHAVIORAL NEUROSCIENCE
Fifty years of CPGs: two neuroethological papers that shaped BEHAVIORAL NEUROSCIENCE

... do not maintain a fixed phase relative to one another, or relative to movements of the wings. However, different neurons innervating the same muscle do maintain a fixed phase (Wyman, 1965). For one pair of muscles that are each innervated by five motor neurons, the neurons innervating each muscle fi ...
Feedforward and feedback frequency
Feedforward and feedback frequency

An Imperfect Dopaminergic Error Signal Can Drive Temporal
An Imperfect Dopaminergic Error Signal Can Drive Temporal

The Development of Neural Synchrony and Large
The Development of Neural Synchrony and Large

... during an auditory oddball paradigm. In adult participants, phase locking of alpha oscillations was significantly increased while the amplitude was lower than in children. Together with the findings from SSRs, these data suggest that during the adolescent period, cortical circuits undergo a fine-tun ...
Binding Mechanisms in Visual Perception
Binding Mechanisms in Visual Perception

Neural Substrates Related to Motor Memory with Multiple
Neural Substrates Related to Motor Memory with Multiple

... temporoparietal junction; TMS, transcranial magnetic stimulation; TR, repetition time. ...
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia

A Neuronal Model of Predictive Coding Accounting for the
A Neuronal Model of Predictive Coding Accounting for the

... This comparison is achieved at the level of a population of neurons called the “prediction error” population, which receives two sets of inputs: excitatory inputs coming from the thalamus and conveying the current sensory stimulus, and inhibitory inputs that reflect the activity of the predictive po ...
with task performance neural responses and determining their
with task performance neural responses and determining their

... method to parse the responses of individual neurons into weighted sums of intuitive components. Our method computes the weights by projecting a neuron’s responses onto a predefined orthonormal basis. Once determined, these weights can then be combined to quantify different types of signal modulation ...
PDF
PDF

... attempted to minimize the possible effects of such variables. Microelectrodes were selected for their capacity to record multiunits. When possible, and this was usually the case, the same recording microelectrode was used for experiments on both light-reared and dark-reared animals. The amplificatio ...
Lightweight Authentication Protocol For Smart Dust
Lightweight Authentication Protocol For Smart Dust

... -means GVPP adapt to real time changes in lighting without recalibration,day or light ...
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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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