Science Events

6
December2023
Scientific Communication on Social Media WorkshopScientific communication workshop led by guest speaker Wendy Darling, communications and social media manager at Emory University. Learn how to leverage social media to communicate your research! Matt Williams will be taking professional headshots for trainers following the talk. Food will be provided for in-person participants.
5-7pmCombined Classroom 121 & 123 The Hatchery, Emory University
4
December2023
Interactive Brain Oscillations WorkshopLearn to analyze brain oscillation data with free lunch!  The workshop will consist of a 30-minute talk and a coding session where you will apply the concepts to a real LFP dataset in Matlab.  Make sure to bring a laptop with Matlab installed and feel free to bring your own data!  
12:30-1:30pmGeorgia Tech (Room TBA)
19
September2023
Faculty Talk with Dr. Anqi WuDr. Anqi Wu is the PI of the Brain Intelligence and Machine Learning (BRAINML) lab. She will discuss her lab’s research. This will be a good opportunity to learn about her lab’s work, and to foster future potential collaborations.
3-4pmMoSE 1224
23
February2023
Trainee talks: David Weiss and Lisa Meyer-BaeseDavid Weiss – “Machine Learning Methods for State Estimation in Primary Somatosensory Cortex”
Lisa Meyer-Baese – “Identifying resting-state cortical dynamics with wide-field voltage imaging in mice”
11am-12pmU.A. Whitaker BME Classroom 1232
9-12
November2022
ABRCMS 2022The Annual Biomedical Research Conference for Minority Students (ABRCMS, https://abrcms.org/) has been the go-to conference for underrepresented community college, undergraduate and postbaccalaureate students in science, technology, engineering and mathematics for 20 years. ABRCMS 2022 will take place in-person, Nov. 9-12 in Anaheim, California. Dr. Lena Ting will recruit CNTP applicants at ABRCMS 2022. Please reach out if you would like to join the CNTP program!
9am-7:30pmAnaheim, CA
27-28
October2022
CRCNS PI MeetingThe Atlanta neuroscience community is hosting the 2022 CRCNS (Collaborative Research in Computational Neuroscience) PI meeting. The meeting will consist of a two-day conference hosted at the Georgia Tech Hotel and Conference Center in midtown Atlanta on October 27-28, 2022. For more details, check out the meeting website: https://crcns2022atl.gatech.edu/.
7am-8pmGeorgia Tech Hotel and Conference Center
10
June2022
GT/Emory Neural Engineering Center Research ExpoPlease join the Computational Neural Engineering Training Program for the Georgia Tech/Emory Neural Engineering Center Research Expo this June to showcase the wide range of research achievement in the Atlanta neural engineering community. The Research Expo will be hosted by the GT/Emory Neural Engineering Center and welcomes poster presentations on research relating to neural engineering and computational neuroscience. For more information, check out our post: GT/Emory Neural Engineering Center Research Expo.

To attend the GT/Emory Neural Engineering Center Research Expo, please register at this link here: https://forms.gle/sE3xd8DAbvkZ3rYq7
2-4pmIBB 1128
23
May2022
Sub-Second Dynamics of the Hippocampal Neural CodingDr. Lu Zhang will be talking about methods for performing cycle-by-cycle analysis of theta-gamma coupling in the hippocampus, which he leveraged to investigate hippocampal neural codes during goal-directed behavior. More generally, this approach is a novel way of analyzing neural oscillations, which are thought to shape temporal information processing within neural circuits.
11:30am-12:45pmSuddath Seminar Room
10
February2022
Technical Workshop: Eva DyerDr. Eva Dyer will give a lecture on self-supervised learning and its application in neuroscience. All who are interested are welcome to attend.
2-3:30pmOnline
27
January2022
Trainee talks: Lou Blanpain and Matt WilliamsLou Blanpain – “Non-invasive Brain Modulation in Humans via Rhythmic Sensory Stimulation: a Mechanistic Study in intracranial EEG Subjects.”
Matt Williams – “Motor Unit Recording During Skilled Behavior”
3:30-5:00pmOnline
14
December2021
Technical Workshop: Controls in NeuroscienceThe T32 program in Computational Neural Engineering invite all interest to attend this virtual workshop on Applying Control Theory in Neuroscience led by Dr. Garrett Stanley and graduate student Adriano Borsa. Advances in actuating neural circuits with optogenetics and observing neural circuits with modern imaging/electrophysiology allows for the possibility of closing the loop with real-time feedback, but bridging control theory with neuroscience has nevertheless been underappreciated. The workshop will consist of an interactive Google Colab notebook, exploring heuristic and modern control feedback techniques as applied to a simulated neural system. The goal of this workshop is to expose folks in the neuroscience community to control theory, as well as inspire discussion for how controls can be used to solve problems in neuroscience. Contact gt.emory.cntp.unofficial at gmail.com for information.
11:00amOnline
4
October2021
Trainee talks: Kyle Thomas and Kyle JohnsenKyle Thomas – “Motor unit activation patterns during sensorimotor adaptation”
Kyle Johnsen – “Closed-loop control in neuroscience”
3:30-4:30pmRollins 2052 
30
June2021
Technical Workshop: Graph TheoryInteractive workshop on graph theory and brain connectivity.
Online
27
May2021
Industry talk: Jim Ross, Axion BiosystemsJim Ross will present about his path in industry.
Online
28
April2021
Trainee talks: Sena Agezo and Yahia AliSena Agezo – “A pipeline for robustly measuring social behavior using deep learning”
Yahia Ali – “Manifold Alignment for Stabilizing Brain-Computer Interfaces”
Online
31
March2021
Technical Workshop: Dynamical SystemsInteractive workshop on dynamical systems.
Online
17
February2021
Faculty talk: Michael BorichDr. Michael Borich will present about his career path and work studying human neural plasticity.
Online
22
January2021
Trainee talks: Nmachi Anumba and Brianna KarpowiczNmachi Anumba – “Functional Connectivity and the BOLD Global Signal”
Brianna Karpowicz – “Improving brain-machine interface robustness through deep learning-based manifold alignment”
Online