[HTML][HTML] Where is the error? Hierarchical predictive coding through dendritic error computation
Top-down feedback in cortex is critical for guiding sensory processing, which has
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …
[HTML][HTML] Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish
Biological computing (or biocomputing) offers potential advantages over silicon-based
computing in terms of faster decision-making, continuous learning during tasks, and greater …
computing in terms of faster decision-making, continuous learning during tasks, and greater …
Injectable fluorescent neural interfaces for cell-specific stimulating and imaging
Building on current explorations in chronic optical neural interfaces, it is essential to address
the risk of photothermal damage in traditional optogenetics. By focusing on calcium …
the risk of photothermal damage in traditional optogenetics. By focusing on calcium …
A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost
Neuromodulators in the brain act globally at many forms of synaptic plasticity, represented
as metaplasticity, which is rarely considered by existing spiking (SNNs) and nonspiking …
as metaplasticity, which is rarely considered by existing spiking (SNNs) and nonspiking …
[HTML][HTML] Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks
Complex cognitive abilities are thought to arise from the ability of the brain to adaptively
reconfigure its internal network structure as a function of task demands. Recent work has …
reconfigure its internal network structure as a function of task demands. Recent work has …
[HTML][HTML] Prefrontal functional connectivities in autism spectrum disorders: A connectopathic disorder affecting movement, interoception, and cognition
G Leisman, R Melillo, T Melillo - Brain Research Bulletin, 2023 - Elsevier
The prefrontal cortex is included in a neuronal system that includes the basal ganglia, the
thalamus, and the cerebellum. Most of the higher and more complex motor, cognitive, and …
thalamus, and the cerebellum. Most of the higher and more complex motor, cognitive, and …
Neural interfaces: Bridging the brain to the world beyond healthcare
Neural interfaces, emerging at the intersection of neurotechnology and urban planning,
promise to transform how we interact with our surroundings and communicate. By recording …
promise to transform how we interact with our surroundings and communicate. By recording …
Recent advances at the interface of neuroscience and artificial neural networks
Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …
networks (ANNs) have exploited biological properties to solve complex problems. However …
Modeling and simulation of rat non-barrel somatosensory cortex. part i: Modeling anatomy
MW Reimann, S Bolaños-Puchet, JD Courcol… - bioRxiv, 2022 - biorxiv.org
The function of the neocortex is fundamentally determined by its repeating microcircuit motif,
but also by its rich, hierarchical, interregional structure with a highly specific laminar …
but also by its rich, hierarchical, interregional structure with a highly specific laminar …
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network
I Jeon, T Kim - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Although it may appear infeasible and impractical, building artificial intelligence (AI) using a
bottom-up approach based on the understanding of neuroscience is straightforward. The …
bottom-up approach based on the understanding of neuroscience is straightforward. The …