AIMC Topic: Nerve Net
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Multi-chip dataflow architecture for massive scale biophysically accurate neuron simulation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
State-of-the-art neuron simulators are capable of simulating at most few tens/hundreds of neurons in real-time due to the exponential growth in the communication costs with the number of simulated neurons. In this paper, we present a novel, reconfigu...
Measuring the agreement between brain connectivity networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Investigating the level of similarity between two brain networks, resulting from measures of effective connectivity in the brain, can be of interest from many respects. In this study, we propose and test the idea to borrow measures of association use...
Homeostatic Activity-Dependent Tuning of Recurrent Networks for Robust Propagation of Activity.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Mar 30, 2016
UNLABELLED: Developing neuronal networks display spontaneous bursts of action potentials that are necessary for circuit organization and tuning. While spontaneous activity has been shown to instruct map formation in sensory circuits, it is unknown wh...
Best facilitated cortical activation during different stepping, treadmill, and robot-assisted walking training paradigms and speeds: A functional near-infrared spectroscopy neuroimaging study.
NeuroRehabilitation
Jan 1, 2016
BACKGROUND: Robot-assisted and treadmill-gait training are promising neurorehabilitation techniques, with advantages over conventional gait training, but the neural substrates underpinning locomotor control remain unknown particularly during differen...
Framework for single input single output nanonetwork-based realistic molecular communication.
IET nanobiotechnology
Dec 1, 2015
Mobile ad hoc molecular nanonetwork (MAMNET) is a new paradigm for the realisation of future nanonetworks. In MAMNET, transmission of nanoscale information from nanomachine to infostation is based on collision and adhesion. In this study, the authors...
Electrical and Optical Activation of Mesoscale Neural Circuits with Implications for Coding.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Nov 25, 2015
UNLABELLED: Artificial activation of neural circuitry through electrical microstimulation and optogenetic techniques is important for both scientific discovery of circuit function and for engineered approaches to alleviate various disorders of the ne...
A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Sep 16, 2015
UNLABELLED: Many actions performed by animals and humans depend on an ability to learn, estimate, and produce temporal intervals of behavioral relevance. Exemplifying such learning of cued expectancies is the observation of reward-timing activity in ...
Constructing Precisely Computing Networks with Biophysical Spiking Neurons.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 15, 2015
UNLABELLED: While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computation by neural networks are based on population firing rates....
Intrinsic excitability state of local neuronal population modulates signal propagation in feed-forward neural networks.
Chaos (Woodbury, N.Y.)
Apr 1, 2015
Reliable signal propagation across distributed brain areas is an essential requirement for cognitive function, and it has been investigated extensively in computational studies where feed-forward network (FFN) is taken as a generic model. But it is s...
The relative efficiency of modular and non-modular networks of different size.
Proceedings. Biological sciences
Mar 7, 2015
Most biological networks are modular but previous work with small model networks has indicated that modularity does not necessarily lead to increased functional efficiency. Most biological networks are large, however, and here we examine the relative...
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