Simone Holler for:
Holler et al. 2020 “Structure and function of a neocortical synapse”
Jun-Hyeok Choi, Su-Eon Sim, Ji-il Kim, Dong Il Choi for:
Choi et al. 2018 “Interregional synaptic maps among engram cells underlie memory formation”
Dong Il Choi, Jooyoung Kim, Hoonwon Lee, Ji-il Kim for:
Choi et al. 2021 “Synaptic correlates of associative fear memory in the lateral amygdala”
Qiaojie Xiong, Petr Znamenskiy for:
Sanchari Ghosh for:
Akihiro Goto for:
Goto et al. 2021 “Stepwise synaptic plasticity events drive the early phase of memory consolidation”
When: Monday, November 13, 2023, 6:30pm – 9pm
Before/After: SfN Day Program ends at 6:30pm. Engram Social (no affiliation with us) begins at 9pm at SPIN, 1 mile away.
Location: Marriott Marquis, Chinatown Room, 901 Massachusetts Ave NW, Washington, DC
Who: Students, postdocs, junior and senior neuroscientists and NLM-related scientists and practitioners.
What: This meeting will bring together researchers in EM connectomics, engram tagging, and the molecular basis of memory, along with computational neuroscientists and theorists, to debate current models of how long-term learning and memory are physically and functionally encoded. A short award ceremony will honor exciting recent experiments in the neuroscience of learning and memory. A moderated panel with Q&A after will then address this year’s Meetup Question: “What experiments are needed to support or refute our current leading theories of memory encoding?” Meetup concludes in a social with catered snacks and drinks. Join us!
Seating: 60
Cost: Free. SfN registration not required.
RSVP: None.
The meetup will begin with 15 minutes of Seating and Social, followed by a 15 minute presentation of the 2023 Aspirational Neuroscience Awards, honoring important new papers in memory encoding and decoding, followed by an 85 minute Discussion Panel, then Audience Q&A, then a return to the Social.
Panel Question: Can we decode a memory from a connectome?
Alternative Question: What experiments, data, models, or theory are needed to support or refute this aspirational goal?
The discussion will be hosted by Paul Middlebrooks, host of the excellent podcast and website, Brain Inspired, on neuroscience and neuro-inspired AI. Audio will be recorded for the podcast.
2023 Discussion Panelists:
Domains of expertise that we solicited from for this discussion:
1. Engram and Behavioral NLM (tagging, imaging, recording, manipulation, observation, etc.).
2. Synapse-Resolution Connectomics (preservation, clearing, imaging, classifiers, circuit tracing, etc.).
3. Structural and Molecular NLM (dendritics, synaptomics, neuromodulators, genetics, epigenetics, etc.).
4. Translation and Simulation (functional inference, computational neuroscience, neuro-inspired AI, etc.).
5. Theoretical and Systems NLM (hypotheses, questions, unknowns, frontier topics, oscillations, SWRs, etc.).
Please contact Ken with any questions. We hope you can join us!
Date and Time: Tuesday, October 22nd, 2019, 6:45-9pm.
Location: Hyatt Regency McCormick Place, Jackson Park AB Room, Chicago, IL
Outline: A short presentation and award ceremony honored exciting recent experiments and explained how these results support or refute textbook models of long-term memory encoding. Followed by a panel discussion, debate, and Q&A on current models of how long-term learning and memory are encoded at the synaptic and molecular levels.
Panel Question: “Can we decode long-term memories from the connectome?”
This question has evoked much controversy in the popular press, but little substantial scientific discussion. This meetup will be an opportunity for neuroscientists with opposing views to debate the topic in front of an audience of fellow neuroscientists. The panel discussion will be followed by a social with catered snacks and drinks to stimulate further discussion
