Riccardo Caramellino

FAQ About Riccardo Caramellino

• What is Riccardo Caramellino's address?

  Riccardo Caramellino is located at
  Fribourg, Fribourg, Switzerland

• What is Riccardo Caramellino's job title?

  Riccardo Caramellino is a
  I’m a researcher in cognitive neuroscience with a strong interest in brain-machine interfaces and neuromodulation, in particular regarding how machine learning techniques applied to the analysis of neural signals can help the development of neuroprosthetics. Currently I'm working with high density neuropixel probes and analysing neural responses using machine learning techniques and statistical methods. During my PhD I studied how the brain efficiently processes visual stimuli by allocating more computational resources to statistical features that are more informative about the content of a natural image (Caramellino et al. 2021, Elife). I have wide experience working with Long Evans rats both for behavioural studies and in-vivo electrophysiology, using multichannel electrodes to record extra-cellular brain signals both in awake and anaesthetized animals. I participated in the development of a Bayesian ideal-observer model applied to behavioral data that I then implemented in MATLAB code. I’m also highly competent in the statistical analysis of neurons responses and in the application of machine learning techniques to the decoding of these signals. Universite De Fribourg Universitat Freiburg

• What industry does Riccardo Caramellino currently work in?

  Riccardo Caramellino currently works in the
  Universite De Fribourg Universitat Freiburg

• What is Riccardo Caramellino's area of expertise?

  Riccardo Caramellino specializes in
  I’m a researcher in cognitive neuroscience with a strong interest in brain-machine interfaces and neuromodulation, in particular regarding how machine learning techniques applied to the analysis of neural signals can help the development of neuroprosthetics. Currently I'm working with high density neuropixel probes and analysing neural responses using machine learning techniques and statistical methods. During my PhD I studied how the brain efficiently processes visual stimuli by allocating more computational resources to statistical features that are more informative about the content of a natural image (Caramellino et al. 2021, Elife). I have wide experience working with Long Evans rats both for behavioural studies and in-vivo electrophysiology, using multichannel electrodes to record extra-cellular brain signals both in awake and anaesthetized animals. I participated in the development of a Bayesian ideal-observer model applied to behavioral data that I then implemented in MATLAB code. I’m also highly competent in the statistical analysis of neurons responses and in the application of machine learning techniques to the decoding of these signals.

• Which languages does Riccardo Caramellino speak? 

  Riccardo Caramellino speaks the following languages:
  No languages available.

• Which industries has Riccardo Caramellino previously worked in?   

  Riccardo Caramellino has prior experience in the following industries:
  Sissa , Sissa

• What is Riccardo Caramellino’s work experience?  

  Riccardo Caramellino has the following professional experience:
  Universite De Fribourg Universitat Freiburg , Sissa , Sissa .

• How can I find Riccardo Caramellino on LinkedIn?  

  You can view Riccardo Caramellino’s
  LinkedIn profile at LinkedIn URL.

• What are Riccardo Caramellino’s work email addresses?  

  Riccardo Caramellino’s work email addresses are
  [email protected] .

• What company does Riccardo Caramellino work for?  

  Riccardo Caramellino works at
  Universite De Fribourg Universitat Freiburg