Weijia Z
@weijiazh.bsky.social
Ph.D candidate at Columbia University
By disentangling methods from biology, we move toward more robust cross-species insights into spatial coding!
October 7, 2025 at 4:52 PM
By disentangling methods from biology, we move toward more robust cross-species insights into spatial coding!
This methodological lens point us to biological patterns:
🐀 Rats showed a wide range of spatial responses.
👩 Humans showed weaker but consistent tuning.
Importantly, these consistent responses overlap across species and may serve similar computational roles in flexible memory and generalization.
🐀 Rats showed a wide range of spatial responses.
👩 Humans showed weaker but consistent tuning.
Importantly, these consistent responses overlap across species and may serve similar computational roles in flexible memory and generalization.
October 7, 2025 at 4:52 PM
This methodological lens point us to biological patterns:
🐀 Rats showed a wide range of spatial responses.
👩 Humans showed weaker but consistent tuning.
Importantly, these consistent responses overlap across species and may serve similar computational roles in flexible memory and generalization.
🐀 Rats showed a wide range of spatial responses.
👩 Humans showed weaker but consistent tuning.
Importantly, these consistent responses overlap across species and may serve similar computational roles in flexible memory and generalization.
We compared the most common approaches: Spatial Information (SI) and ANOVA-based tests, across 🐀 rat, 👩 human, and 💻 simulations. We found these methods emphasize distinct properties:
SI highlights the contrast between peak and average firing.
ANOVA emphasizes consistency across trials.
SI highlights the contrast between peak and average firing.
ANOVA emphasizes consistency across trials.
October 7, 2025 at 4:52 PM
We compared the most common approaches: Spatial Information (SI) and ANOVA-based tests, across 🐀 rat, 👩 human, and 💻 simulations. We found these methods emphasize distinct properties:
SI highlights the contrast between peak and average firing.
ANOVA emphasizes consistency across trials.
SI highlights the contrast between peak and average firing.
ANOVA emphasizes consistency across trials.