AIMC Topic:
Neurons

Clear Filters Showing 1301 to 1310 of 1335 articles

Neuromorphic neural interfaces: from neurophysiological inspiration to biohybrid coupling with nervous systems.

Journal of neural engineering
OBJECTIVE: Computation in nervous systems operates with different computational primitives, and on different hardware, than traditional digital computation and is thus subjected to different constraints from its digital counterpart regarding the use ...

Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
With the latest development in the design and fabrication of high-density Multi-Electrode Arrays (MEA) for in-vivo neural recordings, the spatiotemporal information in the recorded signals allows for refined estimation of a neuron's location around t...

NEUROPROTECTIVE EFFECT OF BOSWELLIA SERRATA AND ITS ACTIVE CONSTITUENT ACETYL 11-KETO-β-BOSWELLIC ACID AGAINST OXYGEN-GLUCOSE-SERUM DEPRIVATION-INDUCED CELL INJURY.

Acta poloniae pharmaceutica
Oxidative stress plays a key role in pathophysiology of brain ischemia. This study aimed to test whether B. serrata hydroalcoholic extract (BSE) and its active constituent 3-acetyl-1 1-keto-β-boswellic acid (AKBA) could protect neurons against ischem...

Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions.

Neuron
Decision making involves dynamic interplay between internal judgements and external perception, which has been investigated in delayed match-to-category (DMC) experiments. Our analysis of neural recordings shows that, during DMC tasks, LIP and PFC ne...

Computational Architecture of the Granular Layer of Cerebellum-Like Structures.

Cerebellum (London, England)
In the adaptive filter model of the cerebellum, the granular layer performs a recoding which expands incoming mossy fibre signals into a temporally diverse set of basis signals. The underlying neural mechanism is not well understood, although various...

Feedforward Chemical Neural Network: An In Silico Chemical System That Learns xor.

Artificial life
Inspired by natural biochemicals that perform complex information processing within living cells, we design and simulate a chemically implemented feedforward neural network, which learns by a novel chemical-reaction-based analogue of backpropagation....

Collection of Simulated Data from a Thalamocortical Network Model.

Neuroinformatics
A major challenge in experimental data analysis is the validation of analytical methods in a fully controlled scenario where the justification of the interpretation can be made directly and not just by plausibility. In some sciences, this could be a ...

SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models.

Neuroinformatics
There is a growing requirement in computational neuroscience for tools that permit collaborative model building, model sharing, combining existing models into a larger system (multi-scale model integration), and are able to simulate models using a va...

The visually guided development of facial representations in the primate ventral visual pathway: A computer modeling study.

Psychological review
Experimental studies have shown that neurons at an intermediate stage of the primate ventral visual pathway, occipital face area, encode individual facial parts such as eyes and nose while neurons in the later stages, middle face patches, are selecti...