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Optogenetics And Game Theory Applied To Small Side Bird Using Smart Sensing

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Short Description

Monitoring birds' sounds and songs provide important information to biologists helping them understand their behavior. Recently, several interesting studies on birds' monitoring, which highlighted the challenges of recording bird songs and locations, have been published. Wireless sensors are most commonly used for monitoring, detection of events and in general collecting/processing/sending sensors data (i.e temperature, humidity, movements, etc.). Today this is a very mature technology and there are many applications exploits it. However, there are many challenges to still be addressed and the lifetime is one of the most critical especially when the sensors node have a very small form factor as for example for wearable and implantable application. The main focus of this project is to build a wireless sensors node equipped with a pressure sensor and an actuator and eventually with other sensors to monitor birds and apply optogenetic algorithms. The node has to have a small form fact and weight (less than 1.5 grams) to be placed on small birds included a battery. The node should also be able to have a lifetime that at least 1 days processing data and generate a pulse when particular events are detected (i.e. birds start to sign in a special way, etc.). The processing of the data could be part of the project as well. The project is done in collaboration with Institute of Neuroinformatics Prof. Richard Hahnloser

Depending on the applicant's profile and project type, his tasks may involve some of the following:

  • lab. testing/characterization of the existing prototype: verification of the prototype's characteristics w.r. design specification (simulations), measuring power-consumption, and assessing detection performance in lab. conditions
  • programming the circuit for a specific application, field testing
  • printed-circuit-board design to make it suitable for bird monitoring.

Status: Available

  • Looking for Semester and Master Project Students
Supervisors: Michele Magno


(not all need to be met by the single candidate)

  • Experience using the laboratory instrumentation - signal generators, oscilloscopes, DAQ cards, Matlab etc.
  • analog electronics and signal conditioning with operational amplifiers: amplifiers, filters, integrators etc.
  • knowledge of microcontroller programming (C, preferably Nordic BTLE, but it is not mandatory)
  • basic knowledge on signal processing is a plus.
  • plus is knowledge on printed circuit board (PCB) using Altium.


30% Theory
50% Implementation
20% Testing

IIS Professor

Luca Benini

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Detailed Task Description


Practical Details