Mainstream cognitive science and neuroscience both rely heavily on the notion of representation in order to explain the full range of our behavioral repertoire. The relevant feature of representation is its ability to designate (stand in for) spatially or temporally distant properties, When we organize our behavior with respect to mental or neural representations, we are (in principle) organizing our behavior with respect to the property it designates. While representational theories are a potentially a powerful foundation for a good cognitive theory, problems such as grounding and systemdetectable error remain unsolved. For these and other reasons, ecological explanations reject the need for representations and do not treat the nervous system as doing any mediating work.However, this has left us without a straight-forward vocabulary to engage with so-called 'representation-hungry' problems or the role of the nervous system in cognition.In an effort to develop such a vocabulary, here we show that James J Gibson's ecological information functions to designate the ecologically-scaled dynamical world to an organism. We then show that this designation analysis of information leads to an ecological conceptualization of the neural activity caused by information, which in turn we argue can together support intentional behavior with respect to spatially and temporally distal properties. Problems such as grounding and error detection are solved via law-based specification. This analysis extends the ecological framework into the realm of 'representation-hungry' problems, making it as powerful a potential basis for theories of behavior as traditional cognitive approaches. The resulting analysis does, according to some definitions, allow information and the neural activity to be conceptualized as representations; however, the key work is done by information and the analysis remains true to Gibson's ecological ontology.Mainstream accounts of cognition, and the role of the brain in cognition, are predicated on theories of (computational) mental and neural representation. These cognitive representations are not invoked on a whim; they take the forms they do because they are meant to enable three important features of cognition, 1) flexibility / intentionality, 2) successful perception, 3) higher order cognition. However, a number of issues with cognitive representations remain; the neural code by which they are instantiated in the brain is unknown, there is no broad agreement on their structure and format, and they may be fatally ungrounded (e.g. Harnad, 1990) and shut off from system detectable error (Bickhard, 2009). As long as cognitive neuroscience relies on cognitive representational theories, it inherits these problems. In the absence of alternatives, this might be an acceptable risk. If, on the other hand, a framework existed that could explain the key features of cognition while avoiding the problems that saddle cognitive representations, then neuroscience would be on firmer footing by adopting this theoretical basis in...