A fully-funded, three-year postdoctoral position in theoretical neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required.
The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions.
Applicants should apply via our on-line application system, which can be found at "www.unibocconi.eu/post-doc" (Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time).
If you have any questions, please feel free to contact me at alessandro.sanzeni@unibocconi.it
#ScienceJobs #job #neuroscience #connectomics #academia #compneuro #computationalneuroscience #ComplexSystems #physics
Only few more days to apply, come join us!
A fully-funded, three-year postdoctoral position in theoretical neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required.
The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions.
Applicants should apply via our on-line application system, which can be found at "www.unibocconi.eu/post-doc" (Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time).
If you have any questions, please feel free to contact me at alessandro.sanzeni@unibocconi.it
#ScienceJobs #job #neuroscience #connectomics #academia #compneuro #computationalneuroscience #ComplexSystems #physics
Excited to attend #cosyne2023 after a long hiatus! Looking forward for exciting science, reconnecting with old friends and making new ones. Also, we have a fully founded 3-years postdoctoral position at Bocconi University in Milan, Italy. If you are interested please reach out
Please boost! My lab at Northwestern is looking for a new tech. Great opportunity for those seeking more research experience before grad school. https://careers.northwestern.edu/psp/hr857prd_er/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=46852&PostingSeq=1
#NeuroPaperThread #NeuroNewPaper
1) Our article “The geometry of cortical representations of touch in rodents” with @chrisXrodgers Randy Bruno and @StefanoFusi is finally out! In brief, we found that whisker contacts in mice S1 are represented in approximately orthogonal subspaces https://www.nature.com/articles/s41593-022-01237-9 🧵👇
Here are the promised details of the paper by
@The_En_Yang
in the lab and colleagues. If you are interested in circuits for path integration and their effect on behavior, here is a summary:
#neuroscience students and brain admirers joining Mastodon, please, please include a brief description in your profile and a picture/icon/anything. It really helps in building a community.
The #MRCLMB offers fully funded PhD studentships. Come join us!
Deadline: December 1st, 2022 (six days left).
Have a look at the projects listed for the Neurobiology Division (where Marta Zlatic, Greg Jefferis, Bill Schafer, Marco Tripodi, and many others, including myself).
List of projects: https://www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/projects/
How to apply: https://www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/how-to-apply/
"Structured cerebellar connectivity supports resilient pattern separation" Nguyen, Thomas et al. in @darbly's lab https://www.nature.com/articles/s41586-022-05471-w
Spectacular work based on connectomic reconstruction from nanometre-resolution volume electron microscopy and computational modelling that contributes novel findings in cerebellar microcircuitry:
"both the input and output layers of the circuit exhibit redundant and selective connectivity motifs, which contrast with prevailing models. Numerical simulations suggest that these redundant, non-random connectivity motifs increase the resilience to noise at a negligible cost to the overall encoding capacity. This work reveals how neuronal network structure can support a trade-off between encoding capacity and redundancy, unveiling principles of biological network architecture with implications for the design of artificial neural networks."
#cerebellum #connectomics #neuroscience #science #vEM #volumeEM #NeuralBetwork
The abstract "skeleton" is a crutch we use to check if an abstract communicates its idea in its expected format:
1. Topic.
2. Status quo (of the topic).
3. Problem with the status quo (o.t.t.).
4. Solution to the problem w.t.s.q.(o.t.t.).
5. Impact of the solution t.t.p.w.t.s.q.(o.t.t.).
Does your #cosyne23 abstract communicate these 5 points? In this order? If so, all you gotta do is just make the #neuroscience great. Easy peasy. Good luck for deadline day.
https://twitter.com/TPVogels/status/1595320105151275008?s=20&t=HT0uUfmfey82OTfORdHRYA
👋
I am a neuroscientist interested in the circuit dynamics of adaptive but reliable visually guided behavior.
In our group at the U Bonn, we study
- the stabilization of the neural code in visual perception, learning, and memory
- the pathway-specific processing of sensory and self-motion signals
We emphasize ethologically relevant behavior, longitudinal synapse- and circuit-level optophysiology, and miniaturized and bench-top two-photon microscopy.
www.troselab.de
🫡
PhD and Postdoctoral positions are open in computational neurosciences at Bocconi University (Milan, Italy). Research topics include: how movement modulates neural responses to visual stimuli; integrating connectomes in mechanistic models of brain functions; building normative models of neural representations. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required.
Positions will be part of the vibrant community at Bocconi University, which includes researchers working in neuroscience, machine learning, computer science and statistics. A complete list of researchers can be found in the websites of the Department of Computing Sciences (https://cs.unibocconi.eu/), Decision Sciences (https://dec.unibocconi.eu/) and the BIDSA (https://bidsa.unibocconi.eu/). Bocconi University is committed to building a diverse intellectual community and we particularly encourage members of underrepresented groups to apply to these positions.
Application deadline for PhD students is February 1st, 2023. Postdoctoral application reviews will start on Dec. 1st and will continue until the position is filled; the ideal starting date is before June 2023.
Candidates should send their CV and a brief cover letter to: alessandro.sanzeni@unibocconi.it
🚨 BIG DATA RELEASE 🚨 We are beyond excited to announce the release of our Brain Wide Map of neural activity during decision making! It consists of 547 Neuropixel recordings of 32784 neurons across 194 regions of the mouse brain 🐭🧠
All these recordings were performed in a distributed fashion in 12 different labs, spanning Europe and the US 🌎 Rigorous standardization of methods and materials allowed us to pool the data from these labs together into a single gigantic dataset 🐙
Mice are performing our standardized perceptual decision-making task in which they have to position a stimulus in the center of a screen to receive reward. The dataset contains the stimuli and decisions, but also videos from three angles and DeepLabCut pose information. We're even releasing all the raw ephys data!
We know, it's a lot. At your own pace you can read all the details about the experimental setup, the task, processing of the data, and much more in the technical paper which accompanies this data release: https://figshare.com/articles/preprint/Data_release_-_Brainwide_map_-_Q4_2022/21400815
To explore the data at your leisure, visit our visualization website where you can scroll through different recording sessions, look at neural activity during example trials, and see trial-based activity of single neurons: https://viz.internationalbrainlab.org
Do you have itchy fingers to run your models on this humongous dataset? We totally get it! Here you can find how to download the data using our API so you can fire up those computing clusters: https://int-brain-lab.github.io/iblenv/notebooks_external/data_release_brainwidemap.html
This was a collective effort of our stellar team, who all put in so much work to make this monumental achievement possible. Our collaboration consists of 22 PIs, 37 researchers, and 11 staff members who all worked tirelessly to bring these data to you, the community 👏🍾
I know it’s on Twitter but this is an amazing achievement. Technical. Social. Scientific. Will you also write a thread here @InternationalBrainLab @MatteoCarandini ??
https://twitter.com/intlbrainlab/status/1591491465557184513?s=46&t=uqioSvmIhr0hckFeTwohuw
MIT has some great postdoc positions for scientists from underrepresented minorities: https://engineering.mit.edu/the-mit-postdoctoral-fellowship-program-for-engineering-excellence/
Let me introduce myself! My name is Ilenna Jones, I am a computational neuroscientist with keen interest on how dendrites contribute to a singular neuron's ability to compute functions and learn tasks. I build biophysical models of neurons in #pytorch and use #deeplearning principles to investigate how #neuron models can learn and compute given their biologically realistic constraints.
I'm looking for postdocs right now! Feel free to connect if you're looking for someone like me!
I'm very interested in helping other students find resources and guidance as they consider science and #neuroscience in general. Feel free to connect if you're looking for advice/perspectives!
#computationalneuroscience #theoreticalneuroscience #neuroscience #neuralcomputation #learning #modeling #BlackInNeuro #FirstGen #Questbridge
ilenna.com
Hello! A brief #introduction - I am an Asst Prof at Bocconi University (Italy) doing research in theoretical #neuroscience. My main interests are related to sensory representations: what are the underlying circuit mechanisms? how are they modulated by movement? what computational benefits do they provide? I combine theoretical modeling and data analysis. Lately, I have also been interested in integrating #connectomics in network modeling.
An #introduction to eLife's new Mastodon page!
We're an #OpenAccess not-for-profit journal that publishes and reviews #research in the life and biomedical sciences.
We want to improve the way research is practised and shared in part by working with early-career researchers #ECR and supporting #OpenSource technology.
We also just announced our new publishing model that we hope will tackle an overreliance on journal titles and publishing decisions as quality measures for science and scientists.
Deadline tomorrow! We are hiring postdocs for two projects. One seeks to reveal how neural activity is structured in brainwide patterns to support diverse behaviors in mice. The other aims to relate the activity of a single neuron with that of thousands of presynaptic and postsynaptic neurons across the mouse cortex (w Alipasha Vaziri and Federico Rossi). We are interested in people with diverse backgrounds, not only those with specific experience. https://tinyurl.com/CortexlabPostdoc. #neuroscience
Assistant professor at
Bocconi University
working in theoretical neuroscience.