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Characterization of spiking activity of tactile afferents

Victoria Ashley Lang

Determine how the stimulus characteristics are reflected in the spiking activity of neural afferents, and the relationship between spiking activity and elicited sensations.

Sensory feedback for prosthetic devices

Guilia Dominijanni

Understand the basic principle of tactile encoding and define effective ways to implement it in a neuroprosthetic device, by defining optimal stimulation protocols (both invasive and non-invasive) to elicit appropriate perception.

Active sensing strategies and perceptual coding

Zahra Yousefi Darani

Examine how rats execute motor strategies to optimize sensory inputs and the neuronal coding of vibration features at multiple stages of peripheral and cortical processing.

Memory-based tactile perception and task-relevant action selection in robots

Pablo Jose Salazar Villacis

To develop, and implement in robots, a biologically-inspired mathematical model of how spatiotemporal patterns of tactile information can be efficiently encoded and recalled for the selection of action and control of behavior.

Neural coding representation of behaviorally relevant tactile features

Miguel Ángel Casal Santiago

Develop information theoretic methods, based on the new concept of intersection information, to measure how much tactile information carried by a spiking neural code is used to implement specific behaviors in perceptual-guided tasks.

Spiking Neural Networks for information representation and decoding

Alejandro Pequeño Zurro

Using information-theoretic computational analyses of real spike trains, based on the concept of intersection information, we will determine how information about tactile stimuli is carried by neuronal populations, from peripheral to central at various levels, and how the representation at a given stage of processing is read out to give rise to progressively determining the final percept and its use for the task.

A spiking model of realistic human tactile interactions

Giulia Corniani

This project aims to improve current population spiking models of peripheral tactile responses such that they can be directly coupled to an appropriate touch sensor and deliver realistic tactile feedback in real-time.

Optimization and integration of spiking tactile sensors on prosthetic devices

João Neto

The goal of this activity the development of spiking skin for sensory feedback on prosthetic devices.

Soft electrodes for tactile feedback

Melis Özkan

Improved residual peripheral nerve stimulation by means of novel soft intraneural electrodes. The fellow will develop new soft electrodes (based on PDMS or polyimide) to improve coupling between neural tissue and stimulating electrodes.

Learning to find and operate switches

Jakub Cmíral

Using both, tactile and visual feedback, a robot should learn to operate various kinds of switches, knobs, etc.

Active touch and behaviour

Simon Frederik Müller-Cleve

Implementation of spiking tactile neural encoding on a humanoid robot, development of decoding strategies for perception and behavior generation.

Grasping and Manipulation

Luca Lach

Implementation of spiking tactile system on a 7-DoF manipulator and development of manipulation algorithms for stable grasping of objects of different shape and softness.

Multi-transduction neuromorphic skin

Ella Janotte

Development of a novel artificial sensitive skin based on different physical transduction technologies of the tactile physical contact with spike-based neural encoding

Neural nanowire based tactile skin

Luca De Pamphilis

Develop self-powered e-skin with neural nanowire field effect transistors based neural data processing hardware.

Neuromorphic embedded processing for touch

Michele Mastella

Identification of neural network architectures for reproducing biological receptive field responses and implementation in neuromorphic hardware.