Fresh from Oven
An event-driven neural network for monitoring of epileptic seizures on low-power neuromorphic hardware
10.1101/2024.05.22.595225
Long-term monitoring of biomedical signals is essential for the modern clinical management of neurological conditions such as epilepsy. However, developing wearable systems, able to monitor, analyze, and detect epileptic seizures with long-lasting operation times, using current technologies is still an open challenge. Brain-inspired spiking neural networks (SNNs) represent a promising signal processing and computing framework as they can be deployed on ultra-low power neuromorphic computing systems, for this purpose. Here, we introduce a foundational SNN architecture, co-designed and validated on a mixed-signal neuromorphic chip, for always-on monitoring of epileptic activity. We demonstrate how the hardware implementation of this SNN captures the phenomenon of partial synchronization within neural activity during seizure periods. We benchmark the network using a full-custom asynchronous mixed-signal neuromorphic platform, processing analog signals in real-time from an Electroencephalographic (EEG) seizure dataset. The neuromorphic chip comprises an analog front-end (AFE) signal conditioning stage and an asynchronous delta modulation (ADM) circuit directly integrated on the same die, which can produce the stream of spikes as input to the SNN, directly from the EEG electrodes. A linear classifier in a post processing stage is sufficient to reliably classify and detect seizures, from the local features extracted by the SNN. This research marks a significant advancement toward developing embedded intelligent “wear and forget” units for resource-constrained environments. These units could autonomously detect and log relevant EEG events of interest in out-of-hospital environments, offering new possibilities for patient care and management of neurological disorders.
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Open Dataset
Spiking Seizure Classification Dataset
10.1101/2024.05.22.595225
Dataset for event encoded analog EEG signals for detection of Epileptic seizures. This dataset contains events that are encoded from the analog signals recorded during pre-surgical evaluations of patients at the Sleep-Wake-Epilepsy-Center (SWEC) of the University Department of Neurology at the Inselspital Bern. The analog signals are sourced from the SWEC-ETHZ iEEG Database. This database contains event streams for 10 seizures recorded from 5 patients and generated by the DYnamic Neuromorphic Asynchronous Processor (DYNAP-SE2) to demonstrate a proof-of-concept of encoding seizures with network synchronization. The pipeline consists of two parts (I) an Analog Front End (AFE) and (II) an SNN termed as"Non-Local Non-Global" (NLNG) network.
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Experience

 
 
 
 
 

Postdoctoral Researcher

Institute of Neuroinformatics, University of Zurich and ETH Zurich

Jan 2022 – Present Zürich, Switzerland
Working on learning on Neuromorphoic Hardware with Prof. Giacomo Indiveri
 
 
 
 
 

Postdoctoral Researcher

Kavli Institute for Systems Neuroscience - NTNU

Feb 2020 – Dec 2021 Trondheim, Norway
Working on maximally informative neuronal representations with Prof. Yasser Roudi.
 
 
 
 
 

Reviewer

  • Chaos, Solitons & Fractals, Elsevier
  • Chaos, AIP
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    Project Asistant

    DST-DAAD Collaborative Project Grant

    2018 – 2020 Berlin, Germany & Indore, India
    Worked on Solitary States with Prof. Sarika Jalan, IIT Indore, Indore India & Prof. Anna Zakarova, TU Berlin, Berlin Germany
     
     
     
     
     

    Teaching Assistant

    Department of Physics, IIT Indore

    2015 – 2016 Indore, MP, India
    Physics -I : Modern Physics (PH 105) & Physics Lab (PH 156)
     
     
     
     
     

    Master's Project Student

    Department of Physics, IIT Kanpur

    2013 – 2014 Kanpur, UP, India
    Fabricated nano scale capacitors using focused Ion Beam to investigate geometrical correction to the Child-Langmuir law with Prof. H. C. Verma
     
     
     
     
     

    Summer Project Student

    QIC Group, Harish-Chandra Research Institute

    Summer 2013 Prayagraj, UP, India
    Worked on different aspects of Quantum Communication (specifically on Quantum Cryptographic Protocols BB-84, EK-91) with Prof. Ujjwal Sen.

    Education

     
     
     
     
     

    PhD Student (INSPIRE fellow)

    Complex Systems Lab, IIT Indore

    Dec 2014 – Jan 2020 Indore, MP, India
     
     
     
     
     

    Master's Student (Physics)

    Department of Physics, IIT Kanpur

    June 2012 – May 2014 Kanpur, UP, India
     
     
     
     
     

    Bachelor's Student (Physics Hons.)

    Department of Physics, Asutosh Collage, University of Calcutta

    July 2009 – April 2012 Kolkata, West Bengal, India
     
     
     
     
     

    Higher Secondary Student (10+2)

    Fanindra Deb Institution, WBBHSE (WB State Board)

    Jul 2007 – Jun 2009 Jalpaiguri, West Bengal, India
     
     
     
     
     

    Secondary Student (10)

    Mekhliganj Higher Secondary School, WBCSE (WB State Board)

    Apr 2002 – March 2007 Mekhliganj, Cooch Behar, West Bengal, India

    Contact

    • sapta15@gmail.com
    • Institute of Neuroinformatics, UZH / ETH Zurich,Winterthurerstrasse 190, CH-8057 Zurich Switzerland
    • DM Me

    CV

    You can download a PDF copy of the CV here.

    updated on: Feb 2025