Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence

C Frenkel, D Bol, G Indiveri - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
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 …

Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction

Q Xu, T Liu, S Ding, H Bao, Z Li, B Chen - Cognitive Neurodynamics, 2023 - Springer
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 …

Neural heterogeneity promotes robust learning

N Perez-Nieves, VCH Leung, PL Dragotti… - Nature …, 2021 - nature.com
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 …

Brain-inspired methods for achieving robust computation in heterogeneous mixed-signal neuromorphic processing systems

D Zendrikov, S Solinas, G Indiveri - … Computing and Engineering, 2023 - iopscience.iop.org
Neuromorphic processing systems implementing spiking neural networks with mixed signal
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 …

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 …

Intrinsic neural diversity quenches the dynamic volatility of neural networks

A Hutt, S Rich, TA Valiante, J Lefebvre - Proceedings of the National …, 2023 - pnas.org
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 …

Coupling dynamics in an FHN bi-neuron model coupled via ReLU function-based locally active memristor

X Chen, N Wang, K Wang, M Chen, F Parastesh… - Nonlinear …, 2024 - Springer
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 …

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 …

Stochastic electronics: A neuro-inspired design paradigm for integrated circuits

TJ Hamilton, S Afshar, A van Schaik… - Proceedings of the …, 2014 - ieeexplore.ieee.org
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 …