case studies In-depth examinations of an individual or a single event
... consolidation The process of solidifying memory traces in the neural structure over very long periods of time ...
... consolidation The process of solidifying memory traces in the neural structure over very long periods of time ...
Dynamic computation in a recurrent network of heterogeneous
... I. PATTERN - FORMING RECURRENT NETWORKS A 2-D recurrent network of spiking neurons with Mexican hat connectivity (local excitation and distal inhibition) can exhibit clusters of activity when the feedback is sufficiently strong. These clusters are an emergent property of the network and are identifi ...
... I. PATTERN - FORMING RECURRENT NETWORKS A 2-D recurrent network of spiking neurons with Mexican hat connectivity (local excitation and distal inhibition) can exhibit clusters of activity when the feedback is sufficiently strong. These clusters are an emergent property of the network and are identifi ...
Chapter 4. Discussion and Conclusions
... Dreyfus claims that, for a network to display human-like generalisation, its architecture would have to be designed in such a way that it responded to situations in terms of what is relevant for humans. The features responded to “... would have to be based on what past experience [of the network] ha ...
... Dreyfus claims that, for a network to display human-like generalisation, its architecture would have to be designed in such a way that it responded to situations in terms of what is relevant for humans. The features responded to “... would have to be based on what past experience [of the network] ha ...
Semantics Without Categorization
... • Crucially: – The similarity structure, and hence the pattern of generalization depends on the knowledge already stored in the weights. ...
... • Crucially: – The similarity structure, and hence the pattern of generalization depends on the knowledge already stored in the weights. ...
- LSE Research Online
... coordinator (or project leader) is put in place early in the process, and this especially applies if time is limited and the network is initially sparse (which is typically the case if the participating actors are drawn from different domains and therefore have no or only very few prior relationship ...
... coordinator (or project leader) is put in place early in the process, and this especially applies if time is limited and the network is initially sparse (which is typically the case if the participating actors are drawn from different domains and therefore have no or only very few prior relationship ...
Middle and long-latency evoked potentials
... • LLEP has the added advantage that speech can be used instead of tonal stimuli. ...
... • LLEP has the added advantage that speech can be used instead of tonal stimuli. ...
Acquisition of Box Pushing by Direct-Vision
... network whose input is local sensor signals. Then, some actual images are captured by locating the box in order. In one series of the box location, the forward distance y from the robot was constant and the lateral distance x was varied. In the other series, the lateral distance x was constant and t ...
... network whose input is local sensor signals. Then, some actual images are captured by locating the box in order. In one series of the box location, the forward distance y from the robot was constant and the lateral distance x was varied. In the other series, the lateral distance x was constant and t ...
Unimodal or Bimodal Distribution of Synaptic Weights?
... changes in synaptic weights, so that the neuron may specialise to ‘noise’ rather than to features of the outside world. Moreover, such a bimodal distribution seems to be difficult to reconcile with experiments in young rats where a unimodal distribution was found [1]. Other plasticity models, howeve ...
... changes in synaptic weights, so that the neuron may specialise to ‘noise’ rather than to features of the outside world. Moreover, such a bimodal distribution seems to be difficult to reconcile with experiments in young rats where a unimodal distribution was found [1]. Other plasticity models, howeve ...
Principles of Soft Computing, 2 nd Edition
... The algorithm used in cognitron and neocognitron is same, except that neocognitron model can recognize patterns that are positionshifted or shape-distorted. The cells used in neocognitron are of two types: • S-cell: Cells that are trained suitably to respond to only certain features in the previous ...
... The algorithm used in cognitron and neocognitron is same, except that neocognitron model can recognize patterns that are positionshifted or shape-distorted. The cells used in neocognitron are of two types: • S-cell: Cells that are trained suitably to respond to only certain features in the previous ...
Cellular Mechanisms of Learning and Memory
... gene activated by CREB encodes a ubiquitin hydrolase, which in turn cause persistent activity of PKA. The second gene activated by CREB encodes another transcription factor C/EBP. This binds to the DNA response element CAAT, which activates genes that encode proteins important for the growth of new ...
... gene activated by CREB encodes a ubiquitin hydrolase, which in turn cause persistent activity of PKA. The second gene activated by CREB encodes another transcription factor C/EBP. This binds to the DNA response element CAAT, which activates genes that encode proteins important for the growth of new ...
Masters Proposal Project
... incomplete information (Hewitson et al., 1994). As a result of these two characteristics, ANNs can model extremely complex features. ANNs have also emerged as an important tool for classification and are a promising alternative to conventional classifiers (Zhang, 2000). ANNs, like the brain also con ...
... incomplete information (Hewitson et al., 1994). As a result of these two characteristics, ANNs can model extremely complex features. ANNs have also emerged as an important tool for classification and are a promising alternative to conventional classifiers (Zhang, 2000). ANNs, like the brain also con ...
Open access
... begins. If the arrow is lost servos change their behavior to a semi-random search which produces many spurious images. ...
... begins. If the arrow is lost servos change their behavior to a semi-random search which produces many spurious images. ...
The neural network model of music cognition ARTIST and
... updated after each measure of the piece. After this, the activations decay exponentially over time, which allows the model to keep in its inputs a kind of memory of the musical context. The role of the neurons in F2 (Top layer, containing the categories) is to signal by their activation level whethe ...
... updated after each measure of the piece. After this, the activations decay exponentially over time, which allows the model to keep in its inputs a kind of memory of the musical context. The role of the neurons in F2 (Top layer, containing the categories) is to signal by their activation level whethe ...
Learning in a neural network model in real time using real world
... In this study we investigate the properties of a real-time implementation of a biophysically realistic learning rule using real world stimuli. Within the framework of a model of the mammalian auditory system we investigate a single-integrated learning mechanism which combines a local learning rule w ...
... In this study we investigate the properties of a real-time implementation of a biophysically realistic learning rule using real world stimuli. Within the framework of a model of the mammalian auditory system we investigate a single-integrated learning mechanism which combines a local learning rule w ...
PDF file
... indicates the “belongingness” of the input y to the region Ri represented by lobe component vector (vi ). According to the theory of Principal Component Analysis (PCA) (e.g., see Jolliffe (1986)), we know that the best solution of column vector vi is the principal component of the conditional covari ...
... indicates the “belongingness” of the input y to the region Ri represented by lobe component vector (vi ). According to the theory of Principal Component Analysis (PCA) (e.g., see Jolliffe (1986)), we know that the best solution of column vector vi is the principal component of the conditional covari ...
The Neural Mechanisms of Learning
... More evidence for the role of LTP in learning comes from studies indicating that drugs which enhance synaptic transmission tend to enhance learning NMDA (N-methyl-D-aspartate) a neurotransmitter receptor found on dendrites particularly in the hippocampal region NMDA is specialised to receive th ...
... More evidence for the role of LTP in learning comes from studies indicating that drugs which enhance synaptic transmission tend to enhance learning NMDA (N-methyl-D-aspartate) a neurotransmitter receptor found on dendrites particularly in the hippocampal region NMDA is specialised to receive th ...
3680Lecture27
... • When a visual stimulus appears: – Visual neurons tuned to aspects of that stimulus fire action potentials (single unit recording) – Ensemble depolarizations of pyramidal cells in various parts of visual cortex (and elsewhere) (ERP, MEG) – Increased metabolic demand ensues in various parts of the v ...
... • When a visual stimulus appears: – Visual neurons tuned to aspects of that stimulus fire action potentials (single unit recording) – Ensemble depolarizations of pyramidal cells in various parts of visual cortex (and elsewhere) (ERP, MEG) – Increased metabolic demand ensues in various parts of the v ...