Reservoir computing with 3D nanowire networks

Neural Networks, Journal Year: 2022, Volume and Issue: 154, P. 122 - 130

Published: July 12, 2022

Language: Английский

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A connectomics-based taxonomy of mammals

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Nov. 7, 2022

Mammalian taxonomies are conventionally defined by morphological traits and genetics. How species differ in terms of neural circuits whether inter-species differences circuit organization conform to these is unknown. The main obstacle the comparison architectures has been network reconstruction techniques, yielding species-specific connectomes that not directly comparable one another. Here, we comprehensively chart connectome across mammalian phylogenetic spectrum using a common protocol. We analyse MRI (MaMI) data set, database encompasses high-resolution ex vivo structural diffusion scans 124 12 taxonomic orders 5 superorders, collected unified assess similarity between two methods: Laplacian eigenspectra multiscale topological features. find greater similarities among within same order, suggesting reflects established relationships morphology While all retain hallmark global features relative proportions connection classes, variation driven local regional connectivity profiles. By encoding into frame reference, findings establish foundation for investigating how change over phylogeny, forging link from genes behaviour.

Language: Английский

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Multifunctional human visual pathway-replicated hardware based on 2D materials

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Oct. 5, 2024

Abstract Artificial visual system empowered by 2D materials-based hardware simulates the functionalities of human system, leading forefront artificial intelligence vision. However, retina-mimicked that has not yet fully emulated neural circuits pathways is restricted from realizing more complex and special functions. In this work, we proposed a pathway-replicated consists crossbar arrays with split floating gate tungsten diselenide (WSe 2 ) unit devices simulate retina cortex, related connective peripheral replicate connectomics between cortex. This experimentally displays advanced multi-functions red–green color-blindness processing, low-power shape recognition, self-driven motion tracking, promoting development machine vision, driverless technology, brain–computer interfaces, intelligent robotics.

Language: Английский

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Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks

Neural Networks, Journal Year: 2021, Volume and Issue: 142, P. 608 - 618

Published: July 24, 2021

Biological neuronal networks (BNNs) are a source of inspiration and analogy making for researchers that focus on artificial (ANNs). Moreover, neuroscientists increasingly use ANNs as model the brain. Despite certain similarities between these two types networks, important differences can be discerned. First, biological neural sculpted by evolution constraints it entails, whereas engineered to solve particular tasks. Second, network topology systems, apart from some analogies drawn, exhibits pronounced differences. Here, we examine strategies construct recurrent (RNNs) instantiate brains different species. We refer such RNNs bio-instantiated. investigate performance bio-instantiated in terms of: (i) prediction itself, is, capacity minimize cost function at hand test data, (ii) speed training, how fast during training reaches its optimal performance. working memory tasks where task-relevant information must tracked sequence events unfolds time. highlight used with found BNNs, without sacrificing observe no enhancement when compared randomly wired RNNs, our approach demonstrates empirical data constructing thus, facilitating further experimentation biologically realistic topologies, contexts aspect is desired.

Language: Английский

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Tomography of memory engrams in self-organizing nanowire connectomes

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 27, 2023

Self-organizing memristive nanowire connectomes have been exploited for physical (in materia) implementation of brain-inspired computing paradigms. Despite having shown that the emergent behavior relies on weight plasticity at single junction/synapse level and wiring involving topological changes, a shift to multiterminal paradigms is needed unveil dynamics network level. Here, we report tomographical evidence memory engrams (or traces) in connectomes, i.e., physicochemical changes biological neural substrates supposed endow representation experience stored brain. An experimental/modeling approach shows spatially correlated short-term effects can turn into long-lasting engram patterns inherently related topology inhomogeneities. The ability exploit both encoding consolidation information same substrate would open radically new perspectives materia computing, while offering neuroscientists an alternative platform understand role learning knowledge.

Language: Английский

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