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Mechanisms to synchronize neuronal activity
Mechanisms to synchronize neuronal activity

Neural Coding and Auditory Perception
Neural Coding and Auditory Perception

... degradation in ITD-sensitivity, with more severe effects at higher frequencies. Model simulations suggest that the reduction in information at higher frequencies can be partially, but not entirely, accounted for by the differential effects of reverberation on stimulus fine-structure and envelopes. W ...
Visuomotor development
Visuomotor development

... The concepts of reference frames and coordinate systems are used widely in the study of eye and limb movements. A reference frame is invoked when an experimental result is described: for example, describing the position of eyes relative to the head (a head-fixed frame of reference) (Soechting and Fl ...
the brain of ai cars
the brain of ai cars

Ramón y Cajal, 19 th century
Ramón y Cajal, 19 th century

... Neuronal activity changes the intracellular calcium. Via changes in intra-cellular calcium, neurons change their morphology with respect to their axonal and dendritic shape. This leads to changes in neuronal connectivity which, in turn, adapts neuronal activity. The goal is that by these changes neu ...
Neural and Voluntary Control of Breathing
Neural and Voluntary Control of Breathing

... Neural Control of Breathing • This topic is still “unsettled” science // exact mechanism for setting the rhythm of respiration remains unknown • Currently, we understand there are three neural circuits (nuclei) within the brain stem which influence breathing – Dorsal respiratory group – Ventral res ...
Visual Prostheses: Current Progress and Challenges
Visual Prostheses: Current Progress and Challenges

... have been investigated such as ASK, FSK and DPSK [7,14,15] each having its own advantages. As electrode counts increase data rate increases and advanced low-power, high data-rate transmission schemes need to be investigated. However, the bigger obstacle is efficient power transmission, which is sev ...
Analyzing Neural Responses to Natural Signals: Maximally
Analyzing Neural Responses to Natural Signals: Maximally

... Tolhurst, 2003). Observing the full dynamic range of neural responses may require using stimulus ensembles that approximate those occurring in nature (Rieke, Warland, de Ruyter van Steveninck, & Bialek, 1997; Simoncelli & Olshausen, 2001), and it is an attractive hypothesis that the neural represent ...
Hebbian Learning of Bayes Optimal Decisions
Hebbian Learning of Bayes Optimal Decisions

... Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models for Bayesian decision making typically require datastructures that are hard to implement in neural networks. This article s ...
Continuous transformation learning of translation
Continuous transformation learning of translation

Document
Document

... Slice from: Redefining the tonotopic core of rat auditory cortex: Physiological evidence for a posterior field ...
A Model for Delay Activity Without Recurrent Excitation
A Model for Delay Activity Without Recurrent Excitation

Irregular persistent activity induced by synaptic excitatory feedback
Irregular persistent activity induced by synaptic excitatory feedback

... for preferred and non-preferred stimuli. Most models of working memory in recurrent neuronal circuits (reviewed in Brunel, 2004) generate persistent activity due to excitatory feedback loops in such circuits. These models are able to account for the firing rates observed in such tasks (Amit and Brune ...
Chunking of Action Sequences in the Cortex
Chunking of Action Sequences in the Cortex

Neural Coding and Auditory Perception
Neural Coding and Auditory Perception

... whose modulation depth was matched to the average modulation depth of the reverberant stimulus. This suggests that the envelope representation is more robust for realistic, dynamic reverberant stimuli, than for static, anechoic stimuli, when controlling for average modulation depth. We tested the hy ...
The basic Hebb rule
The basic Hebb rule

... period during which the stimulus being presented moves to the right and excites the different neurons in the network sequentially • After the training period, the neuron with sa = 0 receives strengthened input from the sa =−2 neuron and weakened input from the neuron with ...
The computational modeling of analogy-making
The computational modeling of analogy-making

... The distinction of being the first computer model of analogy-making probably goes to Reitman’s Argus [4]. The program solved proportional analogies that, by today’s standards, seem trivial. For example, the program was given: bear:pig::chair:? and had to pick an answer from one of four choices: foot ...
Lexical Plasticity in Early Bilinguals Does Not Alter Phoneme
Lexical Plasticity in Early Bilinguals Does Not Alter Phoneme

... the phonological (and, specifically, phonetic) level. The literature about adaptation of the speech perception system to dialectal variability has not been focused on how dialectal variability is encoded in the lexicon, but mostly on more broad aspects of perception of accented speech (see, for inst ...
learning, Memory, and Cognition: Animal Perspectives
learning, Memory, and Cognition: Animal Perspectives

... age. Exposure to benzaldehyde at days 2-5 of adult life, but not at 8-1 I, causes behavioral adaptation as well as structural changes in DM2 and V glomeruli. These examples show that (i) animals often exhibit innate preferences for signals allowing to rapidly and efficiently detect biologically rele ...
View PDF - CiteSeerX
View PDF - CiteSeerX

... fundamental to adaptive behavior, such as the determination of food patch density in foraging organisms. Another utilization of rate estimation is in interceptive timing, where judgments are made as to time of impact based upon rate of motion.(19) In many situations, such as deciding when and where ...
disparity detection from stereo
disparity detection from stereo

... the binocular stimuli with a specific disparity are matched with binocular neurons in the form of neuronal responses. Different neurons have developed different preferred patterns of weights, each pattern indicating the spatial pattern of the left and right receptive fields. Thus, the response of a ...
Time representation in reinforcement learning models of
Time representation in reinforcement learning models of

Challenges for Brain Emulation
Challenges for Brain Emulation

Cortical Plasticity - Lund University Publications
Cortical Plasticity - Lund University Publications

(addl. 3)
(addl. 3)

... [19]. Networking and AER are based on a simplifying assumption that continuous connectivity between neurons is not necessary for an accurate emulation. Instead, they assume communication is necessary only when a neuron fires, generating an action potential. The emulated neurons are networked togethe ...
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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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