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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 ...
Hypothalamus and Limbic System
Hypothalamus and Limbic System

... results from lesion studies may have been due to damage of fibers of passage rather than due to loss of cell bodies in distinct parts of the hypothalamus. • In particular, hypothalamus lesions may damage fibers of: – the trigeminal system which affect sensory processing important for feeding – Dopam ...
Free recall and recognition in a network model of the... simulating effects of scopolamine on human memory function
Free recall and recognition in a network model of the... simulating effects of scopolamine on human memory function

... simulations of neurons, synaptic connections, and the effects of acetylcholine. Simulations focus on modeling the effects of the acetylcholine receptor blocker scopolamine on human memory. Systemic administration of scopolamine is modeled by blockade of the cellular effects of acetylcholine in the m ...
Simulations of neuromuscular control in lamprey swimming
Simulations of neuromuscular control in lamprey swimming

... generating a swimming rhythm even without sensory feedback. This is particularly evident in the isolated spinal cord preparation where the spinal cord has been dissociated from the body and is kept alive in isolation in a bath. Under such conditions, the neuronal networks in the cord are still able ...
Synchronous vs. Conjunctive Binding: A False Dichotomy? Robert F. Hadley ()
Synchronous vs. Conjunctive Binding: A False Dichotomy? Robert F. Hadley ()

... readers that the model described presently is not intended as a biologically accurate account of how synchronous firing is caused. Rather, it is best viewed as a suggestive metaphor which illustrates one possible way in which CBNs might provide underpinnings for synchronous firing. The metaphor disp ...
Decoding Motor Commands in Cortico-Basal Ganglia Circuits for the
Decoding Motor Commands in Cortico-Basal Ganglia Circuits for the

... The motor commands were predicted by a computer learning program which utilises a linear model. The model has inputs of neuronal firing rates at a given time and time lag with weighted parameters depending on how important the neuron’s firing rate is at each lag. The neurons’ firing rate can be used ...
Large-Scale Fluorescence Calcium-Imaging
Large-Scale Fluorescence Calcium-Imaging

A computational account for the ontogeny of mirror neurons via
A computational account for the ontogeny of mirror neurons via

From sensorimotor learning to memory cells in prefrontal and
From sensorimotor learning to memory cells in prefrontal and

... (AB), auditory belt (PB) and parabelt (PB), and inferior primary motor (M1), premotor (PM) and prefrontal (PF) cortex e and (B) between visual stimuli and hand motor actions e that is, primary visual (V1), temporo-occipital (TO) and anterior-temporal (AT) areas, as well as dorsolateral motor (M1), p ...
(Full text - MSWord file 171K)
(Full text - MSWord file 171K)

... omitted reward. The timing mechanism was implemented by representing each stimulus using a set of neurons, each of which was activated for a different duration (instead of the single prolonged inhibition in Barto’s model). The critic learning rule was modified to ensure that only the weight for the ...
Neural Correlates of Vibrissa Resonance: Band
Neural Correlates of Vibrissa Resonance: Band

... tuning. An example of this frequency relationship is shown for an NV unit driven by B2 vibrissa stimulation (Figure 3A). The frequency at which this neuron showed the largest amplitude response (the “best frequency” or BF; see Experimental Procedures) (180 Hz) was nearly identical to the FRF of the ...
Forward Prediction in the Posterior Parietal Cortex and Dynamic
Forward Prediction in the Posterior Parietal Cortex and Dynamic

... (Kleinfeld and Deschênes, 2011). However, it is unclear where and how re-afferent signals are integrated with sensory inputs to form forward predictions leading to future movements, rather than solely monitoring them. Most studies in sensorimotor neurophysiology have utilized reactive movements to s ...
Controlling the Elements: An Optogenetic Approach to
Controlling the Elements: An Optogenetic Approach to

Neural Coding and Auditory Perception
Neural Coding and Auditory Perception

... AN fibers without changing the overall firing rates [1]. We used the principle of cochlear scaling invariance to infer the spatio-temporal pattern of AN activity in response to a Huffman stimulus from the response of a single fiber. We first verified that responses of a single AN fiber to a set of H ...
Module 3 and 4 Practice Test
Module 3 and 4 Practice Test

... ____ 22. The concentration of glucose in active regions of the brain underlies the usefulness of a(n) a. MRI. b. brain lesion. c. EEG. d. PET scan. e. hemispherectomy. ____ 23. The sequence of brain regions from the evolutionarily oldest to newest is a. limbic system; brainstem; cerebral cortex. b. ...
Cortical mechanisms of sensory learning and object recognition
Cortical mechanisms of sensory learning and object recognition

... the process is up to our brains, and will be based on a foundation of extensive visual experience. What is the nature of this constructive process? What parts of the brain are critical for object recognition and how does it enable learning about new objects and object categories? In this article, we ...
Brain and effort: brain activation and effort-related working
Brain and effort: brain activation and effort-related working

... during scanning in that high working memory capacity participants evidenced lower activity (in technical terms, a lower intercept) especially when load was low (Engström et al., 2012). In other words, it appears as if high performers started from a lower baseline and then modulated processing along ...
Neural Global Pattern Similarity Underlies True and False Memories
Neural Global Pattern Similarity Underlies True and False Memories

... After studying all 9 lists, participants were given a 2-back working memory task for 10 min before they took the recognition test. The working memory task served as a distractor task between the encoding and retrieval phases and allowed time for an anatomic MRI scan. During the retrieval phase, part ...
invariant face and object recognition in the visual system
invariant face and object recognition in the visual system

... generalization to similar stimuli (in the Hamming distance sense, see Rolls and Treves, 1997), graceful degradation (fault tolerance), and some locality to the representation, so that some single neurons which receive inputs from such a representation can obtain sufficient information without requir ...
Neuronal Regulation Implements Efficient Synaptic Pruning
Neuronal Regulation Implements Efficient Synaptic Pruning

... Figure 1: Distribution of synaptic strengths following a degradation-strengthening process. a) Synaptic distribution after 0,200 , 400, 1000 and 5000 degradationstrengthening steps of a 400 neurons network with 1000 stored memory patterns. 0=0.8, p = 0.1, B- = 10- 5 , B+ = 18 and T/ '" N(0.05, 0.05) ...
From Thought to Action
From Thought to Action

Neurally Plausible Model of Robot Reaching Inspired by Infant
Neurally Plausible Model of Robot Reaching Inspired by Infant

... In this dissertation, we present an abstract model of infant reaching that is neurally-plausible. This model is grounded in embodied artificial intelligence, which emphasizes the importance of the sensorimotor interaction of an agent and the world. It includes both learning sensorimotor correlations ...
Linking reward expectation to behavior in the basal ganglia
Linking reward expectation to behavior in the basal ganglia

NeuroMem Decision Space Mapping
NeuroMem Decision Space Mapping

... compose what we call a feature vector or signature vector. Depending on the application, the Xi measurements can be unrelated, or on the contrary represent a progression over time, or a variation in space, etc. The N measurements compose a feature vector or signature which can be plotted in an N-dim ...
Rebuilding Brain Circuitry with Living Micro
Rebuilding Brain Circuitry with Living Micro

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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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