ETD system

Electronic theses and dissertations repository

 

Tesi etd-05122019-162959


Thesis type
Tesi di laurea magistrale
Author
FRUZZETTI, LORENZO
URN
etd-05122019-162959
Title
Analysis of intracortical recording in visual and premotor cortices using supervised learning algorithms
Struttura
BIOLOGIA
Corso di studi
NEUROSCIENCE
Commissione
relatore Caleo, Matteo
relatore Mazzoni, Alberto
Parole chiave
  • intracortical-recording
  • visual-cortex
  • premotor-cortex
  • Decoding
  • supervised-learning
Data inizio appello
27/05/2019;
Consultabilità
secretata d'ufficio
Riassunto analitico
In this thesis we will apply supervised learning algorithms in the classification of visual stimuli, using recording in the primary visual cortex, and of motor intention, using recording in the Anterior Lateral Motor cortex (ALM), in a mouse model. The two types of classifiers are: a k-nearest neighbors (KNN) and a feed forward neural network (FFNN).
In the first part we are going to compare the two types considering their behaviur changing different parameters, in the second part we are going to evaluate the change in performance over time.
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