activity
20152025
most citedApplications of Deep Learning and Reinforcement Learning to Biological Data

876 citations · 921 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.NC2025

Implantable CMOS probes for high resolution Electrical Imaging of Local Field Potentials Across the Rat Barrel Cortex in vivo

Claudia Cecchetto, Mufti Mahmud, Vincenzo Sorrenti +5

High-resolution recordings of extracellular potentials are fundamental for the study of neuronal networks, the basis of neuronal coding and transmission. Here we present an innovat…

cond-mat.stat-mech2021★ 33 cited

Disentangling the critical signatures of neural activity

Benedetta Mariani, Giorgio Nicoletti, Marta Bisio +3

The critical brain hypothesis has emerged as an attractive framework to understand neuronal activity, but it is still widely debated. In this work, we analyze data from a multi-ele…

cs.LG2017★ 876 cited

Applications of Deep Learning and Reinforcement Learning to Biological Data

Mufti Mahmud, M. Shamim Kaiser, Amir Hussain +1

Rapid advances of hardware-based technologies during the past decades have opened up new possibilities for Life scientists to gather multimodal data in various application domains…

cs.ET2017★ 4 cited

A geographically distributed bio-hybrid neural network with memristive plasticity

Alexantrou Serb, Andrea Corna, Richard George +8

Throughout evolution the brain has mastered the art of processing real-world inputs through networks of interlinked spiking neurons. Synapses have emerged as key elements that, owi…

cs.ET2016★ 1 cited

Sub 100nW volatile nano-metal-oxide memristor as synaptic-like encoder of neuronal spikes

Isha Gupta, Alexantrou Serb, Ali Khiat +3

Advanced neural interfaces mediate a bio-electronic link between the nervous system and microelectronic devices, bearing great potential as innovative therapy for various diseases.…

q-bio.SC2015

Enhancement of Kv1.3 Potassium Conductance by Extremely Low Frequency Electromagnetic Field

Claudia Cecchetto, Marta Maschietto, Pasquale Boccaccio +1

Theoretical and experimental evidences support the hypothesis that extremely low-frequency electromagnetic fields can affect voltage-gated channels. Little is known, however, about…

cs.ET2015★ 7 cited

Memristive integrative sensors for neuronal activity

Isha Gupta, Alexantrou Serb, Ali Khiat +3

The advent of advanced neuronal interfaces offers great promise for linking brain functions to electronics. A major bottleneck in achieving this is real-time processing of big data…