Physical Inference: How The Brain Represents Mass

Imagine that you are driving to work along an icy road when a deer suddenly jumps into your path. Depending on the distance, you may have time to apply the brakes, or you may consider swerving to avoid a collision.

Your intuitive ability to reason about the physics of objects in your environment, for instance their mass, could mean the difference between a fatal crash and a safe arrival at your workplace. However, the way that the brain computes the mass of an object remains a matter of debate.

Specifically, we do not know if object mass is primarily processed in dorsal fronto-parietal areas of the cortex (a region involved in action planning), or if this information is first represented in ventral areas of the cortex (which are engaged in object perception).

Mass Intuition

In 2014 it was reported that activation patterns in ventral visual areas predicted the weight of an object about to be lifted (Gallivan et al., 2014). Conversely, in 2018 Jacqueline C. Snow, of University of Nevada, and co-workers found that a patient with bilateral brain lesions that included the ventral visual cortex was, nevertheless, sensitive to object weight (Buckingham et al., 2018).

mass inference in brain tasks
(a) Toppling tower task (adapted from Fischer et al., 2016) used as a localizer for all experiments. Still frames show an example tower from two different viewpoints during the 360° pan video. Participants were asked in different blocks to determine which side the tower would fall toward (red versus green), or whether the stimulus contained more blue or yellow blocks. (b) Stills extracted from example mass inference videos used Experiments 1 and 2 (top is extracted from early in video, bottom from later). Stills from ‘splash’ and ‘pillow’ videos show a heavy object; stills from the ‘blow’ condition depict a light object. (c) Event-related scanning paradigm in Experiment 1. Each run (4 per subject) presented 36 videos in randomized order (144 total trials with each video presented 4 times), each followed by a 1 s response period (‘Light or Heavy?”) then a rest period of variable duration (mean 6 s). (d) Experiment 2 used a block design to compare decoding during physics and color blocks. Each run (6 per subject) consisted of 5 color blocks, 5 physics blocks, and 4 (12s) rest blocks. 6 videos were shown in each block (360 total trials with each video presented 5 times in a physics block and 5 times in a color block).
Credit: eLife 8:e46619

Now, Sarah Schwettmann, Joshua Tenenbaum and Nancy Kanwisher from the Massachusetts Institute of Technology report having characterized the human brain regions and computations involved in intuitive physical reasoning about mass[1].

Schwettmann et al. focused on the areas of the fronto-parietal cortex that were identified in a previous study (Fischer et al., 2016). They applied machine learning to fMRI data to characterize how the mass of objects is represented in these brain areas.

If an algorithm can be trained to correctly predict whether someone is looking at a heavy or a light object simply based on the patterns of activation in a specific brain region, then it indicates that this brain area actively represents mass. Furthermore, if the algorithm can predict the weight of the object the observer is viewing even when other elements in the stimulus are changed, such as composition or speed, then the representation is said to remain ‘invariant’, or stable.

And indeed, Schwettmann et al. show that such invariant representations of object mass exist in the dorsal fronto-parietal cortex across three experiments (Figure 1).

Computational Models

In the first experiment, the participants were asked to judge the weight of basic geometric solids presented in dynamic movie clips in which the objects splashed into water, fell onto a pillow, and were blown across a surface. The algorithm was ‘trained’ on the data obtained from two of these movies — that is, it received both the fMRI data and the information about whether the viewer was observing a heavy or light object.

The team then found that the algorithm could predict the weight of the object the volunteer observed in the third movie based solely on the fMRI data from the dorsal brain areas. The second experiment showed that these brain regions also appeared to process mass when the observers were asked to pay attention to the color of the objects rather than their weight.

In the last experiment, Schwettmann et al. demonstrated that representations of mass in the dorsal cortex remained invariant even as the surface materials and the amount of motion of the objects changed. Finally, follow-up analyses revealed that the algorithm could reliably use data from the dorsal cortex to predict object mass, but could not do so for data from areas along the ventral cortex.

Dorsal Cortex Involvement

Taken together, these results reveal that some areas in the fronto-parietal cortex compute physical variables and anticipate the dynamics of objects. The finding that during a perceptual task, object mass is represented in the dorsal cortex but not the ventral areas suggests that information about weight may be processed originally in the dorsal cortex, even though the ventral regions may then receive these signals during action planning.

The results also fit with a growing body of evidence that the dorsal cortex is involved in visual perception as well as space and action computations (Erlikhman et al., 2018; Freud et al., 2016). Exactly how invariant representations of physical parameters, such as object mass, are integrated with the computations required for goal-directed actions remains a tantalizing next step for future research.

Mass representations in the fronto-parietal cortex remain surprisingly invariant across changes in stimuli, environments and tasks. Such invariance is presumably advantageous because mass can be extracted from different visual cues and generalized to new scenarios.

That the dorsal cortex computes mass automatically, whether or not it is the focus of someone’s attention, suggests that information about the physical parameters of the environment is sufficiently important for the brain to keep track of it all the time. Future studies will be required to examine whether dorsal brain areas also represent other potentially important physical variables, such as force.

It is likely that active, invariant representations of environmental physics can help to quickly guide action, and that they may therefore be a key adaptation for survival.

  1. Sarah Schwettmann, Joshua B Tenenbaum, Nancy Kanwisher. Invariant representations of mass in the human brain. eLife 2019;8:e46619 DOI: 10.7554/eLife.46619

Authors: Grant Fairchild, Jacqueline C Snow.  © 2020 eLife Sciences Publications Ltd. Republished via Creative Commons Attribution license. Top Image: Group random effects map for the physics >color contrast in the localizer task based on all subjects. Credit: eLife.46619

Last Updated on November 4, 2023