The 2024 CRCNS (Collaborative Research in Computational Neuroscience) PI meeting is being hosted in Minneapolis, Minnesota. The meeting will consist of a two-day conference at the University of Minnesota's McNamara Alumni Center on August 20-21, 2024.
The PIs and Co-PIs receiving grants from the NSF-NIH-AEI-ANR-BMBF-BSF-DOE-ISCIII-NICT CRCNS program convene annually. This gathering is inclusive, welcoming not only those funded by CRCNS but also engaging a diverse community of computational and experimental neuroscience researchers, along with relevant program officers from NSF, NIH, and international collaborators. In addition to sharing progress reports, the meeting aims to emphasize and explore collaborative opportunities in computational neuroscience across various scales, spanning from synapses and molecules to cognition and behavior.
The conference will feature in-person presentations and discussions. Attendees are encouraged to submit abstracts for poster presentations, with a special invitation extended to PIs and trainees from CRCNS-funded projects to showcase their progress updates.
We hope that you will join us!
Local Organizing Committee
Alexander Opitz (UMN), Dora Hermes (Mayo Clinic), Prodromos Daoutidis
(UMN), Kendrick Kay (UMN), Gordon Smith (UMN)
Contact Us
Program
All talks will be streamed via Zoom. If you'd like to watch virtually at any time, please use the following link: https://umn.zoom.us/j/97845647112
August 20th, 2024
Memorial Hall, McNamara Alumni Center
Registration/Breakfast
Time: 8:00 - 9:00 AM
Welcome
Time: 9:00 - 9:15 AM
Keynote
Time: 9:15 - 10:00 AM
Speaker: Jonathan Winawer, PhD - Understanding Circuits in the Human Visual Cortex through Analysis of Field Potentials
Break
Time: 10:00 - 10:15 AM
Session 1: Speech/Language Decoding/Auditory
Session Chair: Gordon Smith, PhD
Intro: 10:15 - 10:20 AM
- 10:20 AM: Cross-lingual semantic representations in the human brain - Fatma Deniz, PhD
- 10:40 AM: Deep Neural Networks Explain Spiking Activity in Auditory Cortex - Joseph Makin, PhD
- 11:00 AM: Neural Speech Decoding Leveraging Deep Learning and Speech Synthesis - Yao Wang, PhD
- 11:20 AM: Auditory computation is constrained and organized by diverse, specialized, and time-limited integration windows - Samuel Norman-Haigneré, PhD (Virtual)
Lunch
Time: 11:40 AM - 12:40 PM
Session 2: Neuromodulation/Neurostimulation
Session Chair: Alexander Opitz, PhD
Session Intro: 12:40 - 12:45 PM
- 12:45 PM: Single pulse white matter stimulation modulates neural responses in human visual cortex - Dora Hermes, PhD
- 1:05 PM: Understanding the function of state-regulated cholinergic neuromodulation for hippocampal memory consolidation - Sara Aton, PhD
- 1:25 PM: Brain Stimulation Modeling at the Microscopic Scale - Gregory Noetscher, PhD
- 1:45 PM: NeMo-TMS: Multiscale Neuron Modeling for TMS, from field induction to electrical and biochemical cellular responses - Gillian Queisser, PhD
Break
Time: 2:05 - 2:35 PM
Session 3: Vision
Session Chair: Dora Hermes, PhD
Session Intro: 2:35 - 2:40 PM
- 2:40 PM: Deciphering the evolution of cell type in the vertebrate retina - Karthik Shekhar, PhD
- 3:00 PM: Population encoding of stimulus features: cortex and retina - Steven Zucker, PhD
- 3:20 PM: Increase in dimensionality and sparsification of neural activity over development across diverse cortical areas - Matthias Kaschube, PhD
- 3:40 PM: Understanding the time course and spatial biases of natural scene segmentation - Ruben Coen-Cagli, PhD
Break
Time: 4:00 - 4:30 PM
Poster Session + Reception
Time: 4:30 - 7:00 PM
August 21st, 2024
Memorial Hall, McNamara Alumni Center
Registration/Breakfast
Time: 8:00 - 8:30 AM
Funders Discussion
Time: 8:30 - 9:15 AM
Speakers:
- ANR - Tia Maurice, PhD (Virtual)
- BMBF - Sophia Schach, PhD & Jessica Rosenberg, PhD (Virtual)
- NICT - Hiroshi Ban, PhD (Virtual)
- NIH - Siavash Vaziri, PhD (Virtual)
NSF - Kenneth Whang, PhD
Keynote
Time: 9:15 - 10:00 AM
Speaker: Caterina Stamoulis, PhD - Sparse Control of the Developing and Developed Human Connectome
Break
Time: 10:00 - 10:30 AM
Session 4: Neural Networks and Encoding
Session Chair: Dora Hermes, PhD
Session Intro: 10:30 - 10:35 AM
- 10:35 AM: How cortico-basal ganglia-thalamic subnetworks can shift decision policies to maximize reward rate - Timothy Verstynen, PhD
- 10:55 AM: Coordinating learning by top-down gating of plasticity in dendrites - Aaron Milstein, PhD
- 11:15 AM: Analysis and modeling of traveling wave patterns in human LFP - Bard Ermentrout, PhD
- 11:35 AM: Biologically-Realistic Spiking Neural Networks for Neuromorphic Computing Hardware - Gina Adam, PhD
Lunch
Time: 11:55 AM - 12:55 PM
Session 5: Brain Signals, Analysis
Session Chair: Gordon Smith, PhD
Session Intro: 12:55 - 1:00 PM
- 1:00 PM: Neural Sequences as an Optimal Dynamical Regime for the Readout of Time - Sotiris Masmanidis, PhD
- 1:20 PM: Integrative explanatory modeling for modern systems neuroscience - Mikail Rubinov, PhD
- 1:40 PM: Trained models of animal behavior in complex tasks - Cristina Savin, PhD
- 2:00 PM: Disentangling signal and noise in neural responses through generative modeling - Kendrick Kay, PhD
Break
Time: 2:20 - 2:50 PM
Session 6: Brain Structure; Brain Atlas
Session Chair: Prodromos Daoutidis, PhD
Session Intro: 2:50 - 2:55 PM
- 2:55 PM: Differential Structural and Functional Connectivity in Sulci and Gryi - Moo Chung, PhD
- 3:15 PM: Circuit neuroscience in zebrafish with next-generation brain atlas resources - Herwig Baier, PhD
- 3:35 PM: A novel model to capture the flexibility of goal-directed decision-making - Amitai Shenhav, PhD
- 3:55 PM: Exploring Neural Pathways: AI Methods in DIPY for Advanced Neuroanatomical Studies - Eleftherios Garyfallidis, PhD
Closing
Time: 4:15 - 4:25 PM
