Poster Reception

June 5, 2025
5 pm – 7 pm

Printed posters were exhibited in the SEC Main Atrium. A poster reception, with opportunity for discussion and Q&A with authors, took place on Thursday, June 5th from 5:00PM – 7:00PM EST.

Poster abstracts

Posters

Poster Title Presenter
1 Comparing LLM and Human Semantic Representations in Abstract Reasoning Caroline Ahn
2 Loss-to-Loss Prediction: Scaling Laws for All Datasets Nikhil Anand
3 Deep Learning Needs Deep Analysis: Evidence from ForageWorld Ryan Badman
4 Foveated sensing with KNN convolutional neural networks Nicholas Blauch
5 Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines Wilka Carvalho
6 RNN Replay: Leakage and Underdamped Dynamics Josue Casco-Rodriguez
7 Excitatory-Inhibitory Dynamics in Adaptive Decision-Making Veronica Chelu
8 Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning Feng Chen
9 Geometry Linked to Untangling Efficiency Reveals Structure and Task-Relevant Information in Neural Populations Chi-Ning Chou
10 Implicit Generative Modeling by Kernel Similarity Matching Shubham Choudhary
11 Alignment Between Human Attention and a Gated Attention Mechanism in Social and Descriptive Captioning Tasks Isaac Christian
12 Lasting Representations in RL via Successor Features and Memory Consolidation Raymond Chua
13 Biologically Interpretable Machine Learning Approaches for Analyzing Neural Data Madelyn Cruz
14 Anatomically and Functionally Constrained Bio-Inspired Recurrent Neural Networks Outperform Traditional RNN Models Nima Dehghani
15 Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru Arturo Deza
16 Unified Predictive Model for Whole-Brain Neural Dynamics of Larval Zebrafish Yu Duan
17 A Model of Continuous Phoneme Recognition Reveals the Role of Context in Human Speech Perception Gasser Elbanna
18 How Memory Enables Rapid Learning in Animal Navigation: A Meta-Learning Perspective Ching Fang
19 An optimal control principle for goal-directed behavior Geoffrey Goodhill
20 Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation Max Gupta
21 Hierarchical Development, Learning, and Robustness in Deep Networks as a Model for the Primate Visual System Dianna Hidalgo
22 Biologically Realistic Computational Primitives of Neocortex Implemented on Neuromorphic Hardware Improve Vision Transformer Performance Suraj Honnuraiah
23 AgentDSA: Dynamical Similarity Analysis for Neural Controllers Ann Huang
24 Sex differences in the brain’s structural and functional connectivity across the lifespan Ke Huang
25 Can Your Neurons Hear the Shape of an Object? Mozes Jacobs
26 Active Electrosensing in Artificial Fish Collectives Sonja Johnson-Yu
27 TBD TBD
28 An analytic theory of creativity in convolutional diffusion models Mason Kamb
29 Ken Utilization Layer for Enhanced Knowledge Tracing and Adaptive Learning Grey Kuling
30 Test-time scaling meets associative memory: Challenges in subquadratic models Mohit Kulkarni
31 Adaptive kernel predictors from feature-learning infinite limits of neural networks Clarissa Lauditi
32 Train-Test Task Alignment in a Solvable model of In-Context Learning Mary Letey
33 Training mechanistic models of neural computations Jakob Macke
34 Reverse Engineering Neural Circuits with Artificial Networks: Insights from Loss Landscape Geometry Flavio Martinelli
35 Broadly-projecting mesolimbic dopamine neurons implement a distributional critic across the striatum Sara Matias
36 Learning the Language of Smell: Foundation Models for Protein-Odor Interactions Brian Depasquale 
37 Automated online spike sorting algorithm for high-channel neural recordings Zeinab Mohammadi
38 Three-Dimensional Micro-Instrumented Neural Network for Neuromorphic Computing Kumar Mritunjay
39 New News: Evaluating single-shot in-weight learning abilities of large language models Core Francisco Park
40 Learning and Stability of Value Representation in Ventral Striatum Farhad Pashakhanloo
41 Free Energy Projective Simulation: active inference with interpretability Josephine Pazem
42 Psychological Imagination Networks in Humans and Large Language Models Saurabh Ranjan
43 Massive activations in language reasoning models: What are they good for? Shivam Raval
44 Dendritic Processing in Artificial Neural Networks based on Shunting Inhibition Maceo Richards
45 The world model emerges in the pattern of intersections of sparse cell assemblies in neocortex Rod Rinkus
46 Sparse Hebbian Learning for High-Capacity Pattern Discrimination in Cerebellar Ensembles Benjamin Ruben
47 Using vine copulas to model and decompose higher-order and time-varying interactions Houman Safaai
48 Model alignment using inter-modal bridges Noor Sajid
49 A Computational Model of Learning and Memory Using Structurally Dynamic Cellular Automata Jeet Singh
50 Impact of eye movements and orofacial movements on mouse visual cortex Atika Syeda
51 Features are Fate: A Theory of Transfer Learning in High Dimensional Regression Javan Tahir
52 Learning richness modulates equality reasoning in neural networks William Tong
53 Global Neuron Shape Reasoning with Point Affinity Transformers Jakob Troidl
54 Situated Projective Simulation: From Memory Trace Encoding toward Episodic Memory Alexander Vining
55 Dissociation of prediction and control in visual neuronal model Binxu Wang
56 When Implants meets AI: A Dual-Loop System for Neuromodulation and Naturalistic Cognitive Research Edward Wang
57 BlindNeuralGen: Brain-Inspired Architecture for Synthesizing EEG Signals from Visual Inputs Sophia Wong
58 Comparing train-test generalization in mouse olfactory learning to artificial neural networks Ningjing Xia
59 When narrower is better: the narrow width limit of Bayesian parallel branching neural networks Zechen Zhang
60 Does cell-type level connectivity support biologically plausible backpropagation? Zihan Zhang
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