From Simon.Davidson at manchester.ac.uk  Thu May  2 16:44:28 2024
From: Simon.Davidson at manchester.ac.uk (Simon Davidson)
Date: Thu, 2 May 2024 14:44:28 +0000
Subject: [CapoCaccia - announce] Post-doc opportunity in Neuromorphic
 digital hardware design @ Manchester
Message-ID: <LO0P265MB50705714BD0DB0DCFFF5BE5DAE182@LO0P265MB5070.GBRP265.PROD.OUTLOOK.COM>


Dear Colleagues,

Please pass this on to anyone who might be interested.

Here in the SpiNNaker group in Manchester we have a vacancy for a post-doc on our contribution to the CONVOLVE project. This is a Europe-wide consortium of industrial and academic partners in the area of low power IOT-type devices, mainly ANNs and (to a lesser extent) SNNs. This three year project currently has 18 months to go. The work is notionally around neuromorphic pipeline design using Verilog, although interest in artificial and spiking networks and their theory would also be useful.

Details can be found here:

https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=28367

The closing date for applications is the 10th of May.

Please contact me if you have any questions.

Simon Davidson
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From smgsolinas at gmail.com  Wed May 15 23:24:24 2024
From: smgsolinas at gmail.com (Sergio Solinas)
Date: Wed, 15 May 2024 23:24:24 +0200
Subject: [CapoCaccia - announce] Brain Simulation School in Bilbao
	Registratio still Open
In-Reply-To: <CAJGXiS6zReANbdZAr5yjGW3ypcxzKcPUARnHr=svu5ayjtGz9Q@mail.gmail.com>
References: <CAJGXiS6sCJN6=6RnGMh5WKgHfxrO+Tn2A7Jx0LXFsWdttKHihg@mail.gmail.com>
 <CAFA6T9uOkP_p9aEuzx_V+VQJOZpbx5BZXK3M86f4+PMux2Yk_w@mail.gmail.com>
 <CAJGXiS5HJFmUxrgLbpeBeE0adh+fXgDvJDew1QVmcJNXkyZY7w@mail.gmail.com>
 <CAJGXiS6zReANbdZAr5yjGW3ypcxzKcPUARnHr=svu5ayjtGz9Q@mail.gmail.com>
Message-ID: <CAKGjxO8UhF=VjGG8ckRp93fyBXHTgvXfD7cin_wqk6AkniQk0w@mail.gmail.com>

----------------
Dear Capocaccia People,

We are organising an Ebrains
<https://urldefense.com/v3/__https://www.ebrains.eu/__;!!D9dNQwwGXtA!UEmgbE8tiQTe9Yu0Tm-Lt3QnM4pQ6pWkB-VFZjn_SHa8Rls37qpcuU1iwFu3rnxdZy5Wk7akeL8Y84_biA3gGOU_tAZG1uI$>
school
in Bilbao from 3rd June to the 7th June 2024. Participants will benefit
from various lectures, tutorials and hands-on practical sessions on how to
simulate large scale neuronal networks within the Ebrains platform. The
platform includes from the various modeling frameworks and has the
potential to improve your research!
We still have seats available for participants: MSc, PhD students, postdocs
or even senior researchers. Those interested in attending and participating
to the school, can check the website for more informations and a link to
the registration:
https://www.bcamath.org/events/ebrains2024/en/
<https://urldefense.com/v3/__https://www.bcamath.org/events/ebrains2024/en/__;!!D9dNQwwGXtA!UEmgbE8tiQTe9Yu0Tm-Lt3QnM4pQ6pWkB-VFZjn_SHa8Rls37qpcuU1iwFu3rnxdZy5Wk7akeL8Y84_biA3gGOU_7OH8l50$>

The registration will cover 1 social dinner and coffee breaks. Bilbao is
also a pleasant city and so we hope you will enjoy Ebrains and the
environment.
We look forward to seeing you here.


[image: EBRAINS2024_POSTER.png]




--
*Dona il  5x1000* all'Universit? degli Studi di Sassari
codice fiscale: 00196350904
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From C.Frenkel at tudelft.nl  Mon May 20 22:16:54 2024
From: C.Frenkel at tudelft.nl (Charlotte Frenkel)
Date: Mon, 20 May 2024 20:16:54 +0000
Subject: [CapoCaccia - announce] PhD position @TU Delft - Design of Emerging
 Neuromorphic Architectures Based on the Human Neocortex
Message-ID: <62857d9c-5e5c-4aa2-9a8d-cdc8feb85d38@tudelft.nl>


Dear Neuromorphs,

The following position is open in my team at TU Delft:

PhD position [Integrated circuit design, hardware/algorithm co-design] - Design of Emerging Neuromorphic Architectures Based on the Human Neocortex

In this project, you will pave the way to next-generation small- to large-scale neuromorphic architectures inspired by the human neocortex, targeting low-footprint adaptive devices such as personal health monitoring wearables and robotic agents. We are looking for an enthusiastic Ph.D. candidate with a background in electrical engineering, computer architecture, or similar fields. Experience with designing multi-core digital systems or mixed-signal integrated circuits is a strong plus, but other/unconventional backgrounds are also welcome to apply!

More information regarding the vacancy and the application guidelines: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=17219

The position is open until filled - early application is encouraged!
Should you have questions, feel free to reach out.

Kind regards,
Charlotte

--
Charlotte Frenkel
Assistant professor, TU Delft
EEMCS faculty - Microelectronics department
Mekelweg 4 (15.290), 2628 CD Delft, The Netherlands
Website: http://cogsys.tudelft.nl
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From C.Frenkel at tudelft.nl  Mon May 20 22:17:25 2024
From: C.Frenkel at tudelft.nl (Charlotte Frenkel)
Date: Mon, 20 May 2024 20:17:25 +0000
Subject: [CapoCaccia - announce] IEEE BioCAS Grand Challenge on Neural
 Decoding (NeuroBench-associated)
Message-ID: <cf2934f7-6a20-478d-bc18-182fda5ab5a5@tudelft.nl>


Dear all,

We are excited to announce the first NeuroBench-associated workshop challenge!

The challenge is hosted with IEEE BioCAS 2024<https://2024.ieee-biocas.org/>, and features the NeuroBench neural decoding algorithmic benchmark (challenges website<https://2024.ieee-biocas.org/Grand-Challenge>). Implementation and results calculation make use of the open-source NeuroBench algorithm-track harness.

Registration is open until May 27, 2024.

Thank you to the community members Arindam Basu and his students Vincent and Biyan for leading the organization of this challenge!

Please find details below:



Dear all,

We are pleased to announce the Grand Challenge on ?Neural Decoding for Motor Control of non-Human Primates? at IEEE BioCAS 2024.


About

The need to restore their ability to perform activities for daily living has motivated the development of a host of assistive technologies. The most promising among the reported ones is the intra-cortical Brain-Machine Interface (iBMI). iBMIs aim to substantially improve patients' lives affected by spinal cord injury or debilitating neurodegenerative disorders such as tetraplegia, amyotrophic lateral sclerosis etc.

An important block in the signal processing chain is the intention decoder that converts the neural signal to a command for driving an actuator (e.g. wheelchair, cursor in screen etc.). While Kalman Filters have been the algorithm of choice historically, the recent improvements of deep neural networks (DNN) raise the question whether they can outperform traditional signal processing techniques. Moreover, integrating such decoders in the implant can provide an effective solution to data compression which is urgently needed to enable wireless iBMIs. However, the computational complexity of the decoder has to be reduced to fit within the power budget of an implant.  Recent advances in DNN techniques such as model compression, quantization and new networks like spiking neural networks may offer solutions in this direction.

This IEEE BioCAS Grand Challenge is geared in that direction and aims to push the boundary for neural decoder design toward next-generation BMI systems. We leverage the framework of Neurobench (https://arxiv.org/abs/2304.04640) developed for benchmarking neuromorphic systems to enable fair comparisons between different decoder designs.


Timeline

Start of Registration                                                                                       Friday, Apr 26, 2024
Start of Project Submission                                                                     Wednesday, May 1, 2024
End of Registration/ Regular Paper Submission                                           Friday, May 27, 2024
End of Project Submission                                                                              Friday, Aug 2, 2024
Author Notification Date                                                                               Friday, Aug 16, 2024
Final paper submission deadline                                                                     Friday, Sep 6, 2024
Conference Registration                                                                                   Friday, Oct 4, 2024


Participation

1.     The competition is open to individuals, colleges/universities, scientific research institutions, and enterprises. The maximum number of team members is 3.

2.     To ensure compliance with local regulations during the competition, all participants should comply with the export control laws of their country. In case of any negative impact on the competition due to violation of any export control laws, the team members reserve the right to disqualify the relevant contestants and take legal action.

3.     Participants shall express their interest to participate in this Grand Challenge by filling in the application form (https://forms.gle/XGu4Bo9qq2YEYWWe6). They have to further submit an abstract in the Conference paper submission website (https://2024.ieee-biocas.org/Call-for-Papers) choosing the track as ?Grand Challenge?, by May 27, 2024.


Awards

Top performing teams will be invited to submit papers in a week after their notification on Aug 16. Do note that gaining one of the top places on the leaderboard does not necessarily mean the acceptance of your paper ?the paper will still go through a peer review process and may be rejected. The winning entries may however present their work at the conference regardless of paper acceptance. They will also receive certificates.

For further details of datasets and evaluation metrics, please check the Biocas website: http://2024.ieee-biocas.org/

You may also contact the organizers as listed below. We look forward to receiving your submissions!

Thanking you,


Organizers

Biyan Zhou, City University of Hong Kong
Pao-Sheng Vincent Sun, City University of Hong KongJason Yik, Harvard University
Charlotte Frenkel, Delft University of Technology
Vijay Janapa Reddi, Harvard University
Arindam Basu, City University of Hong Kong

--
Charlotte Frenkel
Assistant professor, TU Delft
EEMCS faculty - Microelectronics department
Mekelweg 4 (15.290), 2628 CD Delft, The Netherlands
Website: http://cogsys.tudelft.nl
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