Daria Kussovska
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dariakussovska.bsky.social
Daria Kussovska
@dariakussovska.bsky.social
PhD student at Columbia University | Biomedical Engineering | Human Single-Neuron Computation
7/ Mapping these effects to putative cell types, we find distinct contributions. Putative pyramidal neurons express content in burst-aligned events during maintenance, whereas putative interneurons are strongly modulated by memory load and behavior.
December 31, 2025 at 9:28 AM
6/ This is where bursting comes in! We examined burst structure and found that maintenance is supported by transient, burst-like episodes of coordinated activity.
December 31, 2025 at 9:28 AM
5/ To look at population dynamics more directly, we applied dPCA to concept-cell activity. During maintenance, stimulus trajectories evolve over time. Separation is stronger earlier and weaker later in the maintenance period, consistent with a code that transforms across time.
December 31, 2025 at 9:27 AM
4/ Stimulus information is not stably expressed across the full maintenance. A key clue for us was that decoding accuracy increases with wider temporal windows. This suggests apparent persistence can emerge from temporally interleaved activity across neurons.
December 31, 2025 at 9:26 AM
3/ Interesting: at the single-neuron level, most concept cells do not show sustained elevation throughout maintenance. Yet when pooled across neurons, population activity can still look persistent.
December 31, 2025 at 9:24 AM
8/ Mapping these effects to putative cell types, we find distinct contributions. Putative pyramidal neurons express content in burst-aligned events during maintenance, whereas putative interneurons are strongly modulated by memory load and behavior.
December 31, 2025 at 8:22 AM
7/ This is where bursting comes in! We examined burst structure and found that maintenance is supported by transient, burst-like episodes of coordinated activity.
December 31, 2025 at 8:21 AM
6/ To look at population dynamics more directly, we applied dPCA to concept-cell activity. During maintenance, stimulus trajectories evolve over time. Separation is stronger earlier and weaker later in the maintenance period, consistent with a code that transforms across time.
December 31, 2025 at 8:18 AM
5/ Stimulus information is not stably expressed across the full delay. A key clue for us was that decoding accuracy increases with wider temporal windows. This suggests apparent persistence can emerge from temporally interleaved activity across neurons.
December 31, 2025 at 8:16 AM
4/ Interesting: at the single-neuron level, most concept cells do not show sustained elevation throughout maintenance. Yet when pooled across neurons, population activity can still look persistent.
December 31, 2025 at 8:13 AM