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Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
While Moore's law has driven exponential computing power expectations, its nearing end
calls for new avenues for improving the overall system performance. One of these avenues …
calls for new avenues for improving the overall system performance. One of these avenues …
Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction
Memristive electromagnetic induction effect has been widely explored in bi-neuron network
with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This …
with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This …
Neural heterogeneity promotes robust learning
The brain is a hugely diverse, heterogeneous structure. Whether or not heterogeneity at the
neural level plays a functional role remains unclear, and has been relatively little explored in …
neural level plays a functional role remains unclear, and has been relatively little explored in …
Brain-inspired methods for achieving robust computation in heterogeneous mixed-signal neuromorphic processing systems
Neuromorphic processing systems implementing spiking neural networks with mixed signal
analog/digital electronic circuits and/or memristive devices represent a promising …
analog/digital electronic circuits and/or memristive devices represent a promising …
Distinctive biophysical features of human cell-types: insights from studies of neurosurgically resected brain tissue
HM Chameh, M Falby, M Movahed, K Arbabi… - Frontiers in Synaptic …, 2023 - frontiersin.org
Electrophysiological characterization of live human tissue from epilepsy patients has been
performed for many decades. Although initially these studies sought to understand the …
performed for many decades. Although initially these studies sought to understand the …
Energy controls wave propagation in a neural network with spatial stimuli
Y Guo, M Lv, C Wang, J Ma - Neural Networks, 2024 - Elsevier
Nervous system has distinct anisotropy and some intrinsic biophysical properties enable
neurons present various firing modes in neural activities. In presence of realistic …
neurons present various firing modes in neural activities. In presence of realistic …
Intrinsic neural diversity quenches the dynamic volatility of neural networks
Heterogeneity is the norm in biology. The brain is no different: Neuronal cell types are
myriad, reflected through their cellular morphology, type, excitability, connectivity motifs, and …
myriad, reflected through their cellular morphology, type, excitability, connectivity motifs, and …
Coupling dynamics in an FHN bi-neuron model coupled via ReLU function-based locally active memristor
Locally active memristor (LAM) can exhibit memristive and locally active properties, which is
a new candidate for generating complicity and assists us for emulating synapse …
a new candidate for generating complicity and assists us for emulating synapse …
Bilateral widefield calcium imaging reveals circuit asymmetries and lateralized functional activation of the mouse auditory cortex
G Calhoun, CT Chen, PO Kanold - … of the National Academy of Sciences, 2023 - pnas.org
Coordinated functioning of the two cortical hemispheres is crucial for perception. The human
auditory cortex (ACx) shows functional lateralization with the left hemisphere specialized for …
auditory cortex (ACx) shows functional lateralization with the left hemisphere specialized for …
Stochastic electronics: A neuro-inspired design paradigm for integrated circuits
As advances in integrated circuit (IC) fabrication technology reduce feature sizes to
dimensions on the order of nanometers, IC designers are facing many of the problems that …
dimensions on the order of nanometers, IC designers are facing many of the problems that …