Biologically-inspired spatial neural networks
We introduce bio-inspired artificial neural networks consisting of neurons that are
additionally characterized by spatial positions. To simulate properties of biological systems …
additionally characterized by spatial positions. To simulate properties of biological systems …
Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture
There is a concerted effort to build domain-general artificial intelligence in the form of
universal neural network models with sufficient computational flexibility to solve a wide …
universal neural network models with sufficient computational flexibility to solve a wide …
Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings
Brain networks exist within the confines of resource limitations. As a result, a brain network
must overcome the metabolic costs of growing and sustaining the network within its physical …
must overcome the metabolic costs of growing and sustaining the network within its physical …
Spatial computing in structured spiking neural networks with a robotic embodiment
SA Lobov, AN Mikhaylov, ES Berdnikova… - arXiv preprint arXiv …, 2021 - arxiv.org
One of the challenges of modern neuroscience is creating a" living computer" based on
neural networks grown in vitro. Such an artificial device is supposed to perform …
neural networks grown in vitro. Such an artificial device is supposed to perform …
Bio-instantiated recurrent neural networks
A Goulas, F Damicelli, CC Hilgetag - bioRxiv, 2021 - biorxiv.org
Biological neuronal networks (BNNs) are a source of inspiration and analogy making for
researchers that focus on artificial neuronal networks (ANNs). Moreover, neuroscientists …
researchers that focus on artificial neuronal networks (ANNs). Moreover, neuroscientists …
Disentangling the roles of dimensionality and cell classes in neural computations
The description of neural computations in the field of neuroscience relies on two competing
views:(i) a classical single-cell view that relates the activity of individual neurons to sensory …
views:(i) a classical single-cell view that relates the activity of individual neurons to sensory …
On Organizational Principles of Neural Systems
X Li - arXiv preprint arXiv:2402.14186, 2024 - arxiv.org
How do we understand natural intelligence? Inspired by classical embodied cognition and
the emerging multimodal interaction, we study the organizational principles of neural …
the emerging multimodal interaction, we study the organizational principles of neural …
On the effectiveness of neural priors in modeling dynamical systems
S Ramasinghe, H Saratchandran… - arXiv preprint arXiv …, 2023 - arxiv.org
Modelling dynamical systems is an integral component for understanding the natural world.
To this end, neural networks are becoming an increasingly popular candidate owing to their …
To this end, neural networks are becoming an increasingly popular candidate owing to their …
Combined topological and spatial constraints are required to capture the structure of neural connectomes
Volumetric brain reconstructions provide an unprecedented opportunity to gain insights into
the complex connectivity patterns of neurons in an increasing number of organisms. Here …
the complex connectivity patterns of neurons in an increasing number of organisms. Here …
Network models in neuroscience
From interacting cellular components to networks of neurons and neural systems,
interconnected units comprise a fundamental organizing principle of the nervous system …
interconnected units comprise a fundamental organizing principle of the nervous system …