Updates:
Papers presented at BioCAS 2025 (Abu Dhabi, UAE) -- Congratulations to all authors and Co-authors:
1. "Multiplier-Less TEO-Based Efficient Spike Detection ICs for Implantable Brain-Machine Interfaces," Meher Adbol*, Deeksha Singh*, Lakshmi K Iyer and Laxmeesha Somappa
2. "A 16-Channel TDM Spectral Feature Extraction Using IIR Filter for Closed-loop Neuromodulation," Tarun Choudhary, Lakshmi K Iyer and Laxmeesha Somappa
1. "Multiplier-Less TEO-Based Efficient Spike Detection ICs for Implantable Brain-Machine Interfaces," Meher Adbol*, Deeksha Singh*, Lakshmi K Iyer and Laxmeesha Somappa
2. "A 16-Channel TDM Spectral Feature Extraction Using IIR Filter for Closed-loop Neuromodulation," Tarun Choudhary, Lakshmi K Iyer and Laxmeesha Somappa
Papers presented at APCCAS 2025 (Busan, South Korea) -- Congratulations to all authors and Co-authors:
1. "An Energy Efficient Reconfigurable Neural Processor for Adaptive Deep Brain Stimulation in Parkinson’s Disease," Lakshmi K Iyer, Naman Taneja, Nivethida Thirugnanasambandam and Laxmeesha Somappa
2. "A 16-Channel TDM Spectral Feature Extraction Using IIR Filter for Closed-loop Neuromodulation," Tarun Choudhary, Lakshmi K Iyer and Laxmeesha Somappa
1. "An Energy Efficient Reconfigurable Neural Processor for Adaptive Deep Brain Stimulation in Parkinson’s Disease," Lakshmi K Iyer, Naman Taneja, Nivethida Thirugnanasambandam and Laxmeesha Somappa
2. "A 16-Channel TDM Spectral Feature Extraction Using IIR Filter for Closed-loop Neuromodulation," Tarun Choudhary, Lakshmi K Iyer and Laxmeesha Somappa
Papers presented at ISCAS 2025 (London, U.K) -- Congratulations to all authors and Co-authors:
1. "Calibration-Enhanced 16-Channel On-Chip Seizure Classifier Using Gated Recurrent Network," Lakshmi Iyer, Arpit Bal and Laxmeesha Somappa
2. "On the ESD Protection for 10V-Compliant Neural Stimulator in 65nm CMOS Technology," Naef Ahmad, Sandip Lashkare and Laxmeesha Somappa
3. "A Hardware-Software Co-Design Platform to Evaluate SNN Workloads for ReRAM-Based IMC," Nirmal Shah, Jayatika Sakhuja, Udayan Ganguly, Sandip Lashkare and Laxmeesha Somappa
4. "A Neuromodulation-Based Spiking Neural Network Using ReRAM Array," Nirmal Shah, Jayatika Sakhuja, Udayan Ganguly, Sandip Lashkare and Laxmeesha Somappa
5. "Band to Band Tunneling-Based Low Power and Low Area Tunable Spike Delay Element," Abhishek Kadam, Shreyas Deshmukh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
6. "A 0.93 nW/Node Ultra-Low Power Oscillatory Neural Network Using BTBT-Based Oscillators," Abhinav Thaduri, Abhishek Kadam, Laxmeesha Somappa, Udayan Ganguly, Maryam Shojaei Baghini
1. "Calibration-Enhanced 16-Channel On-Chip Seizure Classifier Using Gated Recurrent Network," Lakshmi Iyer, Arpit Bal and Laxmeesha Somappa
2. "On the ESD Protection for 10V-Compliant Neural Stimulator in 65nm CMOS Technology," Naef Ahmad, Sandip Lashkare and Laxmeesha Somappa
3. "A Hardware-Software Co-Design Platform to Evaluate SNN Workloads for ReRAM-Based IMC," Nirmal Shah, Jayatika Sakhuja, Udayan Ganguly, Sandip Lashkare and Laxmeesha Somappa
4. "A Neuromodulation-Based Spiking Neural Network Using ReRAM Array," Nirmal Shah, Jayatika Sakhuja, Udayan Ganguly, Sandip Lashkare and Laxmeesha Somappa
5. "Band to Band Tunneling-Based Low Power and Low Area Tunable Spike Delay Element," Abhishek Kadam, Shreyas Deshmukh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
6. "A 0.93 nW/Node Ultra-Low Power Oscillatory Neural Network Using BTBT-Based Oscillators," Abhinav Thaduri, Abhishek Kadam, Laxmeesha Somappa, Udayan Ganguly, Maryam Shojaei Baghini
Papers presented at BioCAS 2024 (Xi'an, China) -- Congratulations to all authors and Co-authors:
1. "Performance Evaluation of Chopping and Auto-Zeroing based Time-Division Multiplexed High-Density Analog Front-End for Neural Recording," Arpit Bal, Aayush Shrivastava and Laxmeesha Somappa
2. "A Cryptographic Security Engine With Sequence Tracker for Implantable Neural Stimulation Devices," Aksh Garg, Tejas Amritkar, Saravanan Vijayakumaran and Laxmeesha Somappa
1. "Performance Evaluation of Chopping and Auto-Zeroing based Time-Division Multiplexed High-Density Analog Front-End for Neural Recording," Arpit Bal, Aayush Shrivastava and Laxmeesha Somappa
2. "A Cryptographic Security Engine With Sequence Tracker for Implantable Neural Stimulation Devices," Aksh Garg, Tejas Amritkar, Saravanan Vijayakumaran and Laxmeesha Somappa
Extended version of our ISCAS 2024 paper is now published in TBioCAS -- Congratulations to all authors and Co-authors:
"Hardware Optimization and Implementation of a 16-Channel Neural Tree Classifier for on-chip Closed-Loop Neuromodulation," Anal Sharma, Akhilesh Rao and Laxmeesha Somappa
"Hardware Optimization and Implementation of a 16-Channel Neural Tree Classifier for on-chip Closed-Loop Neuromodulation," Anal Sharma, Akhilesh Rao and Laxmeesha Somappa
Openings:
Open PhD positions:
If you are interested and passionate in working on Analog/Mixed-Signal/RF IC and system design for brain-computer interface (BCI) system on chips, join our group. PhD applications are now open [PhD Admissions: EE website]
If you are interested and passionate in working on Analog/Mixed-Signal/RF IC and system design for brain-computer interface (BCI) system on chips, join our group. PhD applications are now open [PhD Admissions: EE website]
Open MTech RA positions:
If you are interested and passionate in working on Analog/Mixed-Signal/RF IC and system design for brain-computer interface (BCI) system on chips, join our group. Be on the lookout for MTech RA applications [MTech Admissions: EE website]
If you are interested and passionate in working on Analog/Mixed-Signal/RF IC and system design for brain-computer interface (BCI) system on chips, join our group. Be on the lookout for MTech RA applications [MTech Admissions: EE website]