Fall 2026

Behavioral Neuroscience

PSYCH 454 Behavioral Neuroscience explores the biological basis of behavior, using neural mechanisms to explain and predict actions and thoughts.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

Historical reviews of Yuri Saalmann: The workload is low with no homework, but the grading is strict as only a few errors are allowed on exams, requiring memorization of all slides.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

PSYCH 202, (ZOOLOGY/​BIOLOGY 101 and 102),ZOOLOGY/​BIOLOGY/​BOTANY 151, or (BIOCORE 381 and 382)

PSYCH 454 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Historical reviews of Yuri Saalmann: Yuri Saalmann is described as a fantastic and engaging lecturer who makes the material interesting, though some find his dry, memorization-heavy style easy to tune out. Reviews highlight that the course relies solely on three exams with no homework, requiring significant study of slide content rather than textbook readings.

CATHERINE AUGER is recorded teaching in Spring 2008, Spring 2009, Spring 2010, Spring 2013. Recorded history may be incomplete and does not establish a future schedule.

YURI SAALMANN is recorded teaching in Fall 2014, Fall 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Historical reviews of Yuri Saalmann: Yuri Saalmann is a fantastic lecturer who makes the material interesting, though the course relies heavily on memorizing extensive slide content for three exams.

Recent recorded grades — Spring 2024: 3.08 GPA, 48.2% A/AB (n=417 letter grades); Spring 2025: 3.50 GPA, 72.0% A/AB (n=429 letter grades); Spring 2026: 3.09 GPA, 50.1% A/AB (n=451 letter grades).

difficulty & workload

Historical reviews of Yuri Saalmann: The workload is low with no homework, but the grading is strict as only a few errors are allowed on exams, requiring memorization of all slides.

Historical reviews of Yuri Saalmann: Lectures are recorded and optional, but the high volume of content requires consistent study rather than last-minute cramming to succeed on the tests.

Topics

  • Perception, action, cognition, social interaction, disease, and neural coding.

Skills

  • Using neural mechanisms to explain and predict human and animal behavior.

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Download part 1
Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "21bf7ead6f473f54a49e482a473f4d5e5e83db9159c37753b31880dfd114bde9",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}