activity
20172024
most citedThe unreasonable effectiveness of small neural ensembles in high-dimensional brain

67 citations · 173 across the 10 of their papers we have counts for

collaborators

11 papers

eess.SP2024

Agile gesture recognition for low-power applications: customisation for generalisation

Ying Liu, Liucheng Guo, Valeri A. Makarovc +3

Automated hand gesture recognition has long been a focal point in the AI community. Traditionally, research in this field has predominantly focused on scenarios with access to a co…

q-bio.NC2024★ 15 cited

Basic principles drive self-organization of brain-like connectivity structure

Carlos Calvo Tapia, Valeriy A. Makarov Slizneva, Cees van Leeuwen

The brain can be considered as a system that dynamically optimizes the structure of anatomical connections based on the efficiency requirements of functional connectivity. To illus…

math.DS2024★ 12 cited

Fast social-like learning of complex behaviors based on motor motifs

Carlos Calvo Tapia, Ivan Y. Tyukin, Valeriy A. Makarov

Social learning is widely observed in many species. Less experienced agents copy successful behaviors, exhibited by more experienced individuals. Nevertheless, the dynamical mechan…

cs.RO2024★ 28 cited

Prediction-for-CompAction: navigation in social environments using generalized cognitive maps

José Antonio Villacorta Atienza, Carlos Calvo Tapia, Valeriy A. Makarov Slizneva

The ultimate navigation efficiency of mobile robots in human environments will depend on how we will appraise them: merely as impersonal machines or as human-like agents. In the la…

cs.LG2023

Agile gesture recognition for capacitive sensing devices: adapting on-the-job

Ying Liu, Liucheng Guo, Valeri A. Makarov +4

Automated hand gesture recognition has been a focus of the AI community for decades. Traditionally, work in this domain revolved largely around scenarios assuming the availability…

q-bio.NC2022★ 13 cited

Spatial computing in structured spiking neural networks with a robotic embodiment

Sergey A. Lobov, Alexey N. Mikhaylov, Ekaterina S. Berdnikova +2

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 neurocomputat…

q-bio.NC2019

Universal principles justify the existence of concept cells

Carlos Calvo Tapia, Ivan Tyukin, Valeri A. Makarov

It is largely believed that complex cognitive phenomena require the perfect orchestrated collaboration of many neurons. However, this is not what converging experimental evidence s…

q-bio.NC2019★ 5 cited

Symphony of high-dimensional brain

Alexander N. Gorban, Valeri A. Makarov, Ivan Y. Tyukin

This paper is the final part of the scientific discussion organised by the Journal "Physics of Life Rviews" about the simplicity revolution in neuroscience and AI. This discussion…

cs.AI2018★ 67 cited

The unreasonable effectiveness of small neural ensembles in high-dimensional brain

A. N. Gorban, V. A. Makarov, I. Y. Tyukin

Despite the widely-spread consensus on the brain complexity, sprouts of the single neuron revolution emerged in neuroscience in the 1970s. They brought many unexpected discoveries,…

q-bio.NC2018

Static Internal Representation Of Dynamic Situations Reveals Time Compaction In Human Cognition

Jose Antonio Villacorta-Atienza, Carlos Calvo-Tapia, Sergio Diez-Hermano +7

The time-changing nature of our world demands processing of huge amounts of information in fast and reliable way to generate successful behaviors. Therefore, significant brain reso…

q-bio.NC2017★ 33 cited

High-dimensional brain. A tool for encoding and rapid learning of memories by single neurons

Ivan Y. Tyukin, Alexander N. Gorban, Carlos Calvo +2

Codifying memories is one of the fundamental problems of modern Neuroscience. The functional mechanisms behind this phenomenon remain largely unknown. Experimental evidence suggest…