ERD

Understanding the Effects of Anesthesia on Cortical Electrophysiological Recordings: A Scoping Review

Project: SYNCH

Updated at: 27-04-2024

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Transformation of digital to analog switching in TaOx-based memristor device for neuromorphic applications

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Updated at: 27-04-2024

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ZrOX insertion layer enhanced switching and synaptic performances of TiOX-based memristive devices

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A solution to the learning dilemma for recurrent networks of spiking neurons

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Updated at: 27-04-2024

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CU and dedicated accelerators integrated on SoC

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Updated at: 27-04-2024

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Conduction channel configuration controlled digital and analog response in TiO2-based inorganic memristive artificial sy...

Project: SYNCH

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Project acronym SYNCH

Fault pruning: Robust training of neural networks with memristive weights.

Project: SYNCH

Updated at: 27-04-2024

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Practical Approach to Induce Analog Switching Behavior in Memristive Devices: Digital-to-Analog Transformation

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Updated at: 27-04-2024

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Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

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Multidimensional encoding of movement and contextual variables by rat globus pallidus neurons during a novel environment...

Project: SYNCH

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Spike-frequency adaptation provides a long short-term memory to networks of spiking neurons

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Updated at: 27-04-2024

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Age-dependent degradation of locomotion encoding in Huntington’s disease R6/2 model mice

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Updated at: 27-04-2024

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Cerebellar nuclei neurons display aberrant oscillations during harmaline-induced tremor

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Updated at: 27-04-2024

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Band tailoring by annealing and current conduction of Co-doped ZnO transparent resistive switching memory

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Updated at: 27-04-2024

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Plasticity and Adaptation in Neuromorphic Biohybrid Systems

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Updated at: 27-04-2024

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Algorithm and software prototypes implemented in first CU system

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Report on clustering of in-vivo network states with SNNs

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Updated at: 27-04-2024

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Preliminary report on mechanisms available for adaptation in neuromorphic HW

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Updated at: 27-04-2024

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CU peripheral components and mixed-signal interface characterized by simulation

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Updated at: 27-04-2024

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Ethics workshop

Project: SYNCH

Updated at: 27-04-2024

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Project acronym SYNCH

Project web site

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Updated at: 27-04-2024

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Memristive synapses connect brain and silicon spiking neurons

Project: SYNCH

Updated at: 27-04-2024

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Selectively biased tri-terminal vertically-integrated memristor configuration.

Project: SYNCH

Updated at: 27-04-2024

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A 64-channel back-gate adapted ultra-low-voltage spike-aware neural recording front-end with on-chip lossless/near-lossl...

Project: SYNCH

Updated at: 27-04-2024

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Project acronym SYNCH

Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor

Project: SYNCH

Updated at: 27-04-2024

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A solution to the learning dilemma for recurrent networks of spiking neurons. bioRxiv/org/10.1101/738385v3, December 201...

Project: SYNCH

Updated at: 27-04-2024

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Project acronym SYNCH

State-dependent entrainment of cerebellar nuclear neurons to the local field potential during voluntary movement

Project: SYNCH

Updated at: 27-04-2024

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Report on unsupervised adaptation of SNNs

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Updated at: 27-04-2024

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Report on DA depletion induced learning impairment

Project: SYNCH

Updated at: 27-04-2024

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Interfacing biology and electronics with memristive materials

Project: SYNCH

Updated at: 27-04-2024

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Resources

Selected filters:

Understanding the Effects of Anesthesia on Cortical Electrophysiological Recordings: A Scoping Review

Transformation of digital to analog switching in TaOx-based memristor device for neuromorphic applications

ZrOX insertion layer enhanced switching and synaptic performances of TiOX-based memristive devices

A solution to the learning dilemma for recurrent networks of spiking neurons

CU and dedicated accelerators integrated on SoC

Conduction channel configuration controlled digital and analog response in TiO2-based inorganic memristive artificial sy...

Fault pruning: Robust training of neural networks with memristive weights.

Practical Approach to Induce Analog Switching Behavior in Memristive Devices: Digital-to-Analog Transformation

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

Multidimensional encoding of movement and contextual variables by rat globus pallidus neurons during a novel environment...

Spike-frequency adaptation provides a long short-term memory to networks of spiking neurons

Age-dependent degradation of locomotion encoding in Huntington’s disease R6/2 model mice

Cerebellar nuclei neurons display aberrant oscillations during harmaline-induced tremor

Band tailoring by annealing and current conduction of Co-doped ZnO transparent resistive switching memory

Plasticity and Adaptation in Neuromorphic Biohybrid Systems

Algorithm and software prototypes implemented in first CU system

Report on clustering of in-vivo network states with SNNs

Preliminary report on mechanisms available for adaptation in neuromorphic HW

CU peripheral components and mixed-signal interface characterized by simulation

Ethics workshop

Project web site

Memristive synapses connect brain and silicon spiking neurons

Selectively biased tri-terminal vertically-integrated memristor configuration.

A 64-channel back-gate adapted ultra-low-voltage spike-aware neural recording front-end with on-chip lossless/near-lossl...

Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor

A solution to the learning dilemma for recurrent networks of spiking neurons. bioRxiv/org/10.1101/738385v3, December 201...

State-dependent entrainment of cerebellar nuclear neurons to the local field potential during voluntary movement

Report on unsupervised adaptation of SNNs

Report on DA depletion induced learning impairment

Interfacing biology and electronics with memristive materials