• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Mechanisms of Neuronal Computation in Mammalian Visual Cortex
Mechanisms of Neuronal Computation in Mammalian Visual Cortex

... longevity of Hubel and Wiesel’s proposal for how the cortical circuit generates orientation selectivity. In their 1962 paper, they proposed that a simple cell becomes orientation selective by virtue of the excitation it receives from LGN relay cells whose receptive fields are aligned parallel to the ...
State dependent activity in monkey visual cortex
State dependent activity in monkey visual cortex

Functional maps within a single neuron
Functional maps within a single neuron

... parameter on a topograph of the neuron. Specifically, a systematic distribution of a physiologically relevant parameter mediated by active mechanisms along a spatial axis within the neuron would constitute a functional map. A striking example of a functional map within a neuron is the recently repor ...
Physiology and mathematical modeling of the auditory system
Physiology and mathematical modeling of the auditory system

... thalamic nuclei, and auditory cortex). As for other sensory systems, stimulation during this time is essential for normal development. When hearing is impaired in early life, the morphology and function of auditory neurons may be affected. The overall structure of the sub-cortical auditory system an ...
An optical neural interface: in vivo control of
An optical neural interface: in vivo control of

... Neural interface technology has made enormous strides in recent years but stimulating electrodes remain incapable of reliably targeting specific cell types (e.g. excitatory or inhibitory neurons) within neural tissue. This obstacle has major scientific and clinical implications. For example, there i ...
A comparison of the distribution and morphology of ChAT
A comparison of the distribution and morphology of ChAT

... ABSTRACT: Present knowledge concerning the organization of cholinergic structures of the spinal cord has been derived primarily from studies on small laboratory animals, while there is a complete lack of information concerning its structure in the pig. In the present study we employed choline acetyl ...
A population density approach that facilitates slow inhibitory synapses
A population density approach that facilitates slow inhibitory synapses

... A previously developed method for efficiently simulating complex networks of integrate-andfire neurons was specialized to the case in which the neurons have fast unitary postsynaptic conductances. However, inhibitory synaptic conductances are often slower than excitatory for cortical neurons, and th ...
Introduction to Artificial Neural Networks (ANNs)
Introduction to Artificial Neural Networks (ANNs)

er81 is expressed in a subpopulation of layer 5
er81 is expressed in a subpopulation of layer 5

... neuron classes (Jones and Powell, 1973; Gilbert and Wiesel, 1985; Lund, 1988; McConnell, 1989). Thus laminar locations can sometimes be utilized as effective references of neuron classes; e.g. layer 4 and layer 5 neurons have distinct morphological and hodological characteristics. However, cell clas ...
Whole-brain functional imaging at cellular resolution using light
Whole-brain functional imaging at cellular resolution using light

... segmented the brain into 11 regions (Fig. 3a) and derived average fluorescence time series across each of these regions (Fig. 3b). Average activity in most brain areas was characterized by large, temporally sparse increases in fluorescence. In many cases, these discharges occurred synchronously acro ...
A local circuit approach to understanding integration of
A local circuit approach to understanding integration of

... Excitatory and inhibitory cortical neurons were modeled separately using experimentally reported input resistances, membrane time constants and firing characteristics of regular-spiking (RS) and fast-spiking (FS) neurons (Connors et al., 1982; McCormick et al., 1985). The cellular parameters used he ...
Lema and Nevitt, 2004a
Lema and Nevitt, 2004a

... LSD, P < 0:0001), while there was no difference between sexes in Big Spring fish (P ¼ 0:079). When comparing between populations, Amargosa River males (P < 0:0001) and females (P ¼ 0:007) both had larger parvocellular neurons than same sex fish from the Big Spring population. These population and sex d ...
PDF - Molecules and Cells
PDF - Molecules and Cells

... eggs and mate multiple times (Peng et al., 2005a). SP is also associated with other behavioral and physiological changes, such as feeding, sleep and immune responses (Carvalho et al., 2006; Domanitskaya et al., 2007; Isaac et al., 2010; Peng et al., 2005b; Ribeiro and Dickson, 2010; Walker et al., 2 ...
Turtle Dorsal Cortex Pyramidal Neurons Comprise Two Distinct Cell
Turtle Dorsal Cortex Pyramidal Neurons Comprise Two Distinct Cell

... recording electrode for 1 second duration with at least 2 seconds of wait time between trials, starting at -70 pA and increasing by 10 pA each trial until a spike was elicited [36–38]. Although the pyramidal neurons were studied within their endogenous cortical circuits, there was no evidence from t ...
Ventral Premotor and Inferior Parietal Cortices
Ventral Premotor and Inferior Parietal Cortices

... where ‘‘re’’ and ‘‘rp’’ are the average response of the neuron in grasp-toeat and grasp-to-place condition, respectively, during the epoch/ epochs in which statistical analysis revealed differential activation between the 2 conditions. In order to describe and compare the distribution of PIs in the ...
Spontaneous activity and functional connectivity in the developing
Spontaneous activity and functional connectivity in the developing

... Spike sorting. Template matching was used to perform spike sorting as described previously (Sokoloff et al. 2015b). For RN recordings, we distinguished between simple and complex spikes (Del Rio-Bermudez et al. 2015; Lisman 1997). As defined by Lisman (1997), a “complex spike” is composed of a burst ...
An optical neural interface: in vivo control of rodent
An optical neural interface: in vivo control of rodent

... Neural interface technology has made enormous strides in recent years but stimulating electrodes remain incapable of reliably targeting specific cell types (e.g. excitatory or inhibitory neurons) within neural tissue. This obstacle has major scientific and clinical implications. For example, there i ...
HTM Neuron paper 12-1
HTM Neuron paper 12-1

Encoding of Action History in the Rat Ventral Striatum
Encoding of Action History in the Rat Ventral Striatum

... reward prediction errors. In addition, the process of reinforcement learning would be greatly facilitated if memory signals related to the animal’s recent actions are also available in the same anatomical structure involved in updating the value functions because a reward or penalty resulting from a ...
Chapter 15 Autonomic NS
Chapter 15 Autonomic NS

The neuronal structure of the substantia nigra in the guinea pig
The neuronal structure of the substantia nigra in the guinea pig

Doubly stochastic processes: an approach for understanding central
Doubly stochastic processes: an approach for understanding central

Evidence for time division multiplexing of multiple simultaneous
Evidence for time division multiplexing of multiple simultaneous

... understood. Here, we provide evidence that the brain may accomplish this using time division ...
Non-NMDA and NMDA receptors transmit area postrema input to
Non-NMDA and NMDA receptors transmit area postrema input to

... depressor nerve (ADN), vagus nerve, and AP stimulation and to iontophoresis of a-amino-3-hydroxy-5-methylisoxazole-4propionic acid and NMDA during control, iontophoresis of 2,3-dihdroxy-6-nitro-7-sulfamoylbenzo(f)quinoxaline (NBQX), DL-2-amino-5-phosphonovaleric acid (AP5), or both, and recovery con ...
PDF
PDF

... neurons (reviewed by Pearson and Doe, 2004; Brody and Odewald, 2002; Jacob et al., 2008). This sequence of events is recapitulated in vitro using isolated neuroblasts and is linked to the number of cell cycles that have progressed, suggesting that the derivation of different neuronal cell types from ...
< 1 ... 63 64 65 66 67 68 69 70 71 ... 238 >

Neural coding

Neural coding is a neuroscience-related field concerned with characterizing the relationship between the stimulus and the individual or ensemble neuronal responses and the relationship among the electrical activity of the neurons in the ensemble. Based on the theory thatsensory and other information is represented in the brain by networks of neurons, it is thought that neurons can encode both digital and analog information.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report