Zhuokun Ding
Overview
Explore the profile of Zhuokun Ding including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
5
Citations
1
Followers
0
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Wang E, Fahey P, Ding Z, Papadopoulos S, Ponder K, Weis M, et al.
bioRxiv
. 2023 Mar;
PMID: 36993435
The complexity of neural circuits makes it challenging to decipher the brain's algorithms of intelligence. Recent breakthroughs in deep learning have produced models that accurately simulate brain activity, enhancing our...
2.
Ding Z, Fahey P, Papadopoulos S, Wang E, Celii B, Papadopoulos C, et al.
bioRxiv
. 2023 Mar;
PMID: 36993398
Understanding the relationship between circuit connectivity and function is crucial for uncovering how the brain implements computation. In the mouse primary visual cortex (V1), excitatory neurons with similar response properties...
3.
Fu J, Shrinivasan S, Baroni L, Ding Z, Fahey P, Pierzchlewicz P, et al.
bioRxiv
. 2023 Mar;
PMID: 36993321
Vision is fundamentally context-dependent, with neuronal responses influenced not just by local features but also by surrounding contextual information. In the visual cortex, studies using simple grating stimuli indicate that...
4.
Celii B, Papadopoulos S, Ding Z, Fahey P, Wang E, Papadopoulos C, et al.
bioRxiv
. 2023 Mar;
PMID: 36993282
We are now in the era of millimeter-scale electron microscopy (EM) volumes collected at nanometer resolution. Dense reconstruction of cellular compartments in these EM volumes has been enabled by recent...
5.
Ding Z, Tran D, Ponder K, Cobos E, Ding Z, Fahey P, et al.
bioRxiv
. 2023 Mar;
PMID: 36993218
A defining characteristic of intelligent systems, whether natural or artificial, is the ability to generalize and infer behaviorally relevant latent causes from high-dimensional sensory input, despite significant variations in the...