A plastic axonal hotspot
... is restricted to developmental and pathological conditions, or whether it is a normal physiological mechanism that could dynamically regulate excitability. The studies identify distinct mechanisms for modulating neuronal excitability — either displacement or extension of the AIS (Fig. 1 a, b). It wi ...
... is restricted to developmental and pathological conditions, or whether it is a normal physiological mechanism that could dynamically regulate excitability. The studies identify distinct mechanisms for modulating neuronal excitability — either displacement or extension of the AIS (Fig. 1 a, b). It wi ...
Melting the Iceberg
... modular, i.e., they are repeated across cortical areas to apply similar computations to different purposes. If so, our best bet to understand them might be to study the primary visual cortex (V1). Area V1 is arguably the ‘‘giant squid axon’’ of cortical neurophysiology: we can control its sensory in ...
... modular, i.e., they are repeated across cortical areas to apply similar computations to different purposes. If so, our best bet to understand them might be to study the primary visual cortex (V1). Area V1 is arguably the ‘‘giant squid axon’’ of cortical neurophysiology: we can control its sensory in ...
Drivers and modulators from push-pull and balanced synaptic input
... Abstract: In 1998, Sherman and Guillery proposed that there are two types of inputs to cortical neurons; drivers and modulators. These two forms of input are required to explain how, for example, sensory driven responses are controlled and modified by attention and other internally generated gating ...
... Abstract: In 1998, Sherman and Guillery proposed that there are two types of inputs to cortical neurons; drivers and modulators. These two forms of input are required to explain how, for example, sensory driven responses are controlled and modified by attention and other internally generated gating ...
input output - Brian Nils Lundstrom
... First, we considered the case when the time-varying stimuli had steady state stimulus statistics, that is, how action potential generation depended on the stimulus’s statistical properties when those properties were fixed, i.e. they did not change in time. Previous in vitro experimental observations ...
... First, we considered the case when the time-varying stimuli had steady state stimulus statistics, that is, how action potential generation depended on the stimulus’s statistical properties when those properties were fixed, i.e. they did not change in time. Previous in vitro experimental observations ...
Predicting voluntary movements from motor cortical activity with
... in green during the preparatory phase turned red with the response signal. On each experimental day, blocks of trials corresponding to each experimental condition (one, two or three targets during preparatory phase) were presented to the monkey in random order. During each block, the target directio ...
... in green during the preparatory phase turned red with the response signal. On each experimental day, blocks of trials corresponding to each experimental condition (one, two or three targets during preparatory phase) were presented to the monkey in random order. During each block, the target directio ...
Functional organization of inferior parietal lobule convexity in the
... Dipartimento di Psicologia, Università di Parma, B.go Carissimi, Parma, Italy ...
... Dipartimento di Psicologia, Università di Parma, B.go Carissimi, Parma, Italy ...
Decoding Motor Commands in Cortico-Basal Ganglia Circuits for the
... the rat during movement bouts. The axes values have been left out as the focus is the shape of the bouts in relation to each other. . . . 6.7 Tracked position (from the point marked on the head) of the rat during movement bouts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 Example of ...
... the rat during movement bouts. The axes values have been left out as the focus is the shape of the bouts in relation to each other. . . . 6.7 Tracked position (from the point marked on the head) of the rat during movement bouts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 Example of ...
The Autonomic Nervous System
... • However, NA can also activate β receptor: β1 has about the same affinity for NA and A; β2 has a higher affinity for A than for NA • However, A can also activate α receptor • Vasoconstriction is an α1 effect • Vasodilation is a β2 effect • Many blood vessels are populated with a mixture of α a ...
... • However, NA can also activate β receptor: β1 has about the same affinity for NA and A; β2 has a higher affinity for A than for NA • However, A can also activate α receptor • Vasoconstriction is an α1 effect • Vasodilation is a β2 effect • Many blood vessels are populated with a mixture of α a ...
powerpoint
... •The ‘mapping’ of these compounds probably occurs by matching to memory templates stored in the brain • A smell is categorized based on one’s previous experiences of it and on the other sensory stimuli correlated with its appearance. ...
... •The ‘mapping’ of these compounds probably occurs by matching to memory templates stored in the brain • A smell is categorized based on one’s previous experiences of it and on the other sensory stimuli correlated with its appearance. ...
What is the other 85% of V1 doing?
... bursty or tonic? Do they tend to be encountered in particular layers of cortex? And most importantly, are they merely unresponsive to bars and gratings, or are they also equally uninterpretable in their responses to a wider variety of stimuli, such as natural images? A seasoned experimentalist who h ...
... bursty or tonic? Do they tend to be encountered in particular layers of cortex? And most importantly, are they merely unresponsive to bars and gratings, or are they also equally uninterpretable in their responses to a wider variety of stimuli, such as natural images? A seasoned experimentalist who h ...
Pictures of pain: their contribution to the
... neurons? Images of pain have been known to trigger emotional responses for millennia. For instance, classical sculptors were extraordinarily adept at depicting pain amongst other emotions, witness famous sculptures such as the Laocoön or the Flaying of Marsyas. There is no doubt that in these sculp ...
... neurons? Images of pain have been known to trigger emotional responses for millennia. For instance, classical sculptors were extraordinarily adept at depicting pain amongst other emotions, witness famous sculptures such as the Laocoön or the Flaying of Marsyas. There is no doubt that in these sculp ...
Analysis of Firing Correlations Between Sympathetic Premotor
... Currently there is little information regarding the nature of the driving inputs to sympathetic premotor neurons. We reasoned that there were two main possibilities. First the sympathetic premotor neurons may themselves form part of the generator network, in which case the premotor neurons must dire ...
... Currently there is little information regarding the nature of the driving inputs to sympathetic premotor neurons. We reasoned that there were two main possibilities. First the sympathetic premotor neurons may themselves form part of the generator network, in which case the premotor neurons must dire ...
LESSON 4.3 WORKBOOK What makes us go to sleep, and what
... When we are awake and alert, most of the neurons in our brain – especially those in our forebrain – are active, which enables us to pay attention to sensory information, to think about what we are perceiving, to retrieve and think about memories, and to engage in the variety of behaviors that we hav ...
... When we are awake and alert, most of the neurons in our brain – especially those in our forebrain – are active, which enables us to pay attention to sensory information, to think about what we are perceiving, to retrieve and think about memories, and to engage in the variety of behaviors that we hav ...
Sequencing the connectome. - Cold Spring Harbor Laboratory
... input from layer 4 to layer 2/3 appears to consist of at least two independent “subnetworks” which happen to overlap in space. In a different set of experiments, Chklovskii and colleagues [10] used whole cell methods to assess connectivity among triplets of neurons. By enumerating all 16 possible wa ...
... input from layer 4 to layer 2/3 appears to consist of at least two independent “subnetworks” which happen to overlap in space. In a different set of experiments, Chklovskii and colleagues [10] used whole cell methods to assess connectivity among triplets of neurons. By enumerating all 16 possible wa ...
Modeling stability in neuron and network function: the role of activity
... burster, but rather fired three spikes per burst.(26) In this case, averaging fails because the phenotype depends not on one single conductance, but on the correlated levels of several and illustrates that, although building models from average data is often reliable, it is not necessarily so. Unfor ...
... burster, but rather fired three spikes per burst.(26) In this case, averaging fails because the phenotype depends not on one single conductance, but on the correlated levels of several and illustrates that, although building models from average data is often reliable, it is not necessarily so. Unfor ...
PDF file
... wt1 i,j and wt2 i,j are top-down weights received from “where” and “what” motors, respectively. y1 i,j and y2 i,j are the top-down inputs from the “where” motor and “what” motor, respectively. β (0 ≤ β ≤ 1) is the weight that controls the maximum contribution by the “what” motor. V. N EURON C OMPETI ...
... wt1 i,j and wt2 i,j are top-down weights received from “where” and “what” motors, respectively. y1 i,j and y2 i,j are the top-down inputs from the “where” motor and “what” motor, respectively. β (0 ≤ β ≤ 1) is the weight that controls the maximum contribution by the “what” motor. V. N EURON C OMPETI ...
A Gaussian Approach to Neural Nets with Multiple Memory Domains
... model are the same as in previous work [6,7] In previous studies [1-3], the dynamical and the mathematical formalism is similar to behaviour of isolated and non-isolated neural that of isolated networks [4]. Neural nets are nets with chemical markers and high assumed to be constructed of discrete se ...
... model are the same as in previous work [6,7] In previous studies [1-3], the dynamical and the mathematical formalism is similar to behaviour of isolated and non-isolated neural that of isolated networks [4]. Neural nets are nets with chemical markers and high assumed to be constructed of discrete se ...