AIMC Topic:
Neurons

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Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Calcium spiking can be used for drug screening studies in pharmaceutical industries. However, performing experiments for multiple drugs and doses are highly expensive. The oscillatory behavior of calcium spiking data demonstrates extreme nonlinearity...
Algorithms Animals Neural Networks, Computer Microscopy, Confocal Rats Drug Evaluation, Preclinical Fluorescence Data Science Calcium Signaling Neurons Hippocampus
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FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes).

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Advances in neurotechnology are expected to provide access to thousands of neural channel recordings including neuronal spiking, multiunit activity and local field potentials. In addition, recent studies have shown that deep learning, in particular r...
Neural Networks, Computer Algorithms Brain-Computer Interfaces Humans Neurons
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A Deep Learning Approach for the Classification of Neuronal Cell Types.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Classification of neurons from extracellular recordings is mainly limited to putatively excitatory or inhibitory units based on the spike shape and firing patterns. Narrow waveforms are considered to be fast spiking inhibitory neurons and broad wavef...
Neural Networks, Computer Models, Neurological Action Potentials Neurons Machine Learning Deep Learning
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Machine Learning of Spatiotemporal Bursting Behavior in Developing Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
As with other modern sciences (and their computational counterparts), neuroscience experiments can now produce data that, in terms of both quantity and complexity, challenge our interpretative abilities. It is relatively common to be faced with datas...
Machine Learning Neurons Neurosciences Neural Networks, Computer
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[Review of the research of spiking neuron network based on memristor].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2018
The rapid development of artificial intelligence put forward higher requirements for the computational speed, resource consumption and the biological interpretation of computational neuroscience. Spiking neuron networks can carry a large amount of in...
Neuronal Plasticity Action Potentials Models, Neurological Neurons Neural Networks, Computer
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Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks.

Physical review. E Jun 1, 2018
Networks of randomly connected neurons are among the most popular models in theoretical neuroscience. The connectivity between neurons in the cortex is however not fully random, the simplest and most prominent deviation from randomness found in exper...
Neurons Synapses Models, Neurological Neural Networks, Computer Action Potentials Animals Time Factors
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Introduction.

International journal of neural systems Jun 1, 2018
Neurons Brain Animals Parkinson Disease Periodicals as Topic Models, Neurological Humans Neural Networks, Computer
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A Real-Time Reconfigurable Multichip Architecture for Large-Scale Biophysically Accurate Neuron Simulation.

IEEE transactions on biomedical circuits and systems Apr 1, 2018
Simulation of brain neurons in real-time using biophysically meaningful models is a prerequisite for comprehensive understanding of how neurons process information and communicate with each other, in effect efficiently complementing in-vivo experimen...
Mice Olivary Nucleus Computer Simulation Neural Networks, Computer Neurons Models, Neurological Animals
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Distributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach.

Psychonomic bulletin & review Feb 1, 2018
Anterior cingulate cortex (ACC) has been the subject of intense debate over the past 2 decades, but its specific computational function remains controversial. Here we present a simple computational model of ACC that incorporates distributed represent...
Gyrus Cinguli Humans Neural Networks, Computer Neurons Motivation Animals Goals Models, Neurological
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[Challenges to Improve the Prediction Accuracy of the Non-clinical Tests for Human CNS Adverse Effects: Potentials of Artificial Intelligence and Human ESC/iPSC-derived Neurons].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
Induced Pluripotent Stem Cells Human Embryonic Stem Cells Drug Evaluation, Preclinical Drug Discovery Neurons Humans Central Nervous System Agents Neuroimaging Animal Testing Alternatives Artificial Intelligence Cell Differentiation
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